BreakDancer: an algorithm for high-resolution mapping of genomic structural variation
This software package provides genome-wide detection of structural variants (insertions, deletions, inversions and inter- and intrachromosomal translocations) from 50-base-pair paired-end reads. The sizes of the detected variants vary from 10 base pairs to 1 megabase pair. Detection and characteriza...
Saved in:
| Published in | Nature methods Vol. 6; no. 9; pp. 677 - 681 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Nature Publishing Group US
01.09.2009
Nature Publishing Group |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1548-7091 1548-7105 |
| DOI | 10.1038/nmeth.1363 |
Cover
| Abstract | This software package provides genome-wide detection of structural variants (insertions, deletions, inversions and inter- and intrachromosomal translocations) from 50-base-pair paired-end reads. The sizes of the detected variants vary from 10 base pairs to 1 megabase pair.
Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods with which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including insertion-deletions (indels), inversions and translocations. We examined BreakDancer's performance in simulation, in comparison with other methods and in analyses of a sample from an individual with acute myeloid leukemia and of samples from the 1,000 Genomes trio individuals. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach. |
|---|---|
| AbstractList | Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods with which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including insertion-deletions (indels), inversions and translocations. We examined BreakDancer's performance in simulation, in comparison with other methods and in analyses of a sample from an individual with acute myeloid leukemia and of samples from the 1,000 Genomes trio individuals. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach. Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods with which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including insertion-deletions (indels), inversions and translocations. We examined BreakDancer's performance in simulation, in comparison with other methods and in analyses of a sample from an individual with acute myeloid leukemia and of samples from the 1,000 Genomes trio individuals. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach. [PUBLICATION ABSTRACT] This software package provides genome-wide detection of structural variants (insertions, deletions, inversions and inter- and intrachromosomal translocations) from 50-base-pair paired-end reads. The sizes of the detected variants vary from 10 base pairs to 1 megabase pair. Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods with which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including insertion-deletions (indels), inversions and translocations. We examined BreakDancer's performance in simulation, in comparison with other methods and in analyses of a sample from an individual with acute myeloid leukemia and of samples from the 1,000 Genomes trio individuals. BreakDancer sensitively and accurately detected indels ranging from 10 base pairs to 1 megabase pair that are difficult to detect via a single conventional approach. Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in complex diseases such as cancer. Recent studies demonstrate the feasibility of detecting structural variation using next-generation, short-insert, paired-end sequencing reads. However, the utility of these reads is not entirely clear, nor are the analysis methods under which accurate detection can be achieved. The algorithm BreakDancer predicts a wide variety of structural variants including indels, inversions, and translocations. We examined BreakDancer's performance in simulation, comparison with other methods, analysis of an acute myeloid leukemia sample, and the 1,000 Genomes trio individuals. We found that it substantially improved the detection of small and intermediate size indels from 10 bp to 1 Mbp that are difficult to detect via a single conventional approach. |
| Audience | Academic |
| Author | Wilson, Richard K Larson, David E McGrath, Sean D Wendl, Michael C McLellan, Michael D Zhang, Qunyuan Mardis, Elaine R Wallis, John W Kalicki, Joelle M Ley, Timothy J Shi, Xiaoqi Locke, Devin P Fulton, Robert S Chen, Ken Pohl, Craig S Ding, Li |
| AuthorAffiliation | 2 Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO 63108 1 The Genome Center, Washington University School of Medicine, St. Louis, MO 63108 |
| AuthorAffiliation_xml | – name: 1 The Genome Center, Washington University School of Medicine, St. Louis, MO 63108 – name: 2 Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO 63108 |
| Author_xml | – sequence: 1 givenname: Ken surname: Chen fullname: Chen, Ken email: kchen22@wustl.edu organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 2 givenname: John W surname: Wallis fullname: Wallis, John W organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 3 givenname: Michael D surname: McLellan fullname: McLellan, Michael D organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 4 givenname: David E surname: Larson fullname: Larson, David E organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 5 givenname: Joelle M surname: Kalicki fullname: Kalicki, Joelle M organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 6 givenname: Craig S surname: Pohl fullname: Pohl, Craig S organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 7 givenname: Sean D surname: McGrath fullname: McGrath, Sean D organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 8 givenname: Michael C surname: Wendl fullname: Wendl, Michael C organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 9 givenname: Qunyuan surname: Zhang fullname: Zhang, Qunyuan organization: Division of Statistical Genomics, Washington University School of Medicine, St. Louis – sequence: 10 givenname: Devin P surname: Locke fullname: Locke, Devin P organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 11 givenname: Xiaoqi surname: Shi fullname: Shi, Xiaoqi organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 12 givenname: Robert S surname: Fulton fullname: Fulton, Robert S organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 13 givenname: Timothy J surname: Ley fullname: Ley, Timothy J organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 14 givenname: Richard K surname: Wilson fullname: Wilson, Richard K organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 15 givenname: Li surname: Ding fullname: Ding, Li organization: The Genome Center, Washin1gton University School of Medicine, St. Louis – sequence: 16 givenname: Elaine R surname: Mardis fullname: Mardis, Elaine R organization: The Genome Center, Washin1gton University School of Medicine, St. Louis |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19668202$$D View this record in MEDLINE/PubMed |
| BookMark | eNptkk1v1DAQhi1URD_gwg9AEUgcQFn8EdsJB6RSPqVKXOjZmvVOEpfEXuykEv8ep9tSWq18sOV55vW8njkmBz54JOQ5oytGRf3Ojzj1KyaUeESOmKzqUjMqD27PtGGH5DilS0qFqLh8Qg5Zo1TNKT8iFx8jwq9P4C3G9wX4AoYuRDf1Y9GGWPSu68uIKQzz5IIvRthune-K0BYd-jA6W6QpznaaIwzFFUQHC_eUPG5hSPjsZj8hF18-_zz7Vp7_-Pr97PS8tFKoqdSCcraxuuZ6rcBSxhGsZJWtqWQgK6ibGgFbzTcCQAhqq7VlluUgq1izFifkw053O69H3Fj0U67DbKMbIf4xAZy5H_GuN124MkIpprXMAq9vBGL4PWOazOiSxWEAj2FORmnFmZQqgy8fgJdhjj6bM5wLLpluFrVXO6iDAY3zbciP2kXRnHKqNZVS80yt9lB5bTD_Z25t6_L9vYQX_7v8Z--2ixl4swNsDClFbO8QapYRMdcjYpYRyTB9AFs3XXctl-GG_Slvdykp6_oO4535PfRfLCnN7w |
| CitedBy_id | crossref_primary_10_1093_bioinformatics_btw423 crossref_primary_10_1080_21691401_2019_1575846 crossref_primary_10_1093_hmg_ddy005 crossref_primary_10_2147_CMAR_S222572 crossref_primary_10_1038_nature20805 crossref_primary_10_1186_s13059_020_02107_y crossref_primary_10_3390_ijms23042143 crossref_primary_10_1186_s12711_018_0398_6 crossref_primary_10_1101_pdb_top078824 crossref_primary_10_1038_ncomms7318 crossref_primary_10_3389_fmicb_2022_821895 crossref_primary_10_1038_ng_2856 crossref_primary_10_1186_s40246_015_0042_2 crossref_primary_10_1080_21501203_2024_2426484 crossref_primary_10_1007_s00439_021_02289_w crossref_primary_10_1186_s12929_018_0442_4 crossref_primary_10_1126_sciadv_1700398 crossref_primary_10_1016_j_biombioe_2019_02_016 crossref_primary_10_1093_nar_gkr506 crossref_primary_10_1371_journal_pone_0157524 crossref_primary_10_1093_gigascience_gix115 crossref_primary_10_3390_cancers12040986 crossref_primary_10_1038_s41588_021_00910_2 crossref_primary_10_1534_g3_118_200021 crossref_primary_10_1002_pbc_27266 crossref_primary_10_1016_j_ygeno_2010_03_001 crossref_primary_10_1038_s41438_020_00391_0 crossref_primary_10_1007_s00343_019_7291_1 crossref_primary_10_1002_humu_22537 crossref_primary_10_1073_pnas_1606220113 crossref_primary_10_1186_s12920_016_0178_5 crossref_primary_10_1093_bioinformatics_bty621 crossref_primary_10_1371_journal_pone_0294521 crossref_primary_10_1093_bioinformatics_btv358 crossref_primary_10_1007_s00439_018_1901_4 crossref_primary_10_1016_j_jmoldx_2015_06_005 crossref_primary_10_1038_ncomms6208 crossref_primary_10_1007_s11427_018_9479_5 crossref_primary_10_1093_nar_gkx010 crossref_primary_10_3389_fpls_2018_00508 crossref_primary_10_7554_eLife_54928 crossref_primary_10_1016_j_xcrm_2021_100501 crossref_primary_10_7717_peerj_2997 crossref_primary_10_1186_s13072_023_00493_8 crossref_primary_10_1111_eva_13486 crossref_primary_10_1371_journal_pgen_1002236 crossref_primary_10_1038_s41396_021_01171_x crossref_primary_10_1093_nsr_nwy076 crossref_primary_10_1093_nar_gku1211 crossref_primary_10_7554_eLife_12081 crossref_primary_10_1016_j_jmoldx_2012_08_001 crossref_primary_10_1111_pce_13689 crossref_primary_10_1111_j_1365_294X_2012_05680_x crossref_primary_10_1186_s12859_020_3475_0 crossref_primary_10_1016_j_cej_2022_136745 crossref_primary_10_1016_j_imed_2021_03_005 crossref_primary_10_1186_gb_2010_11_1_r4 crossref_primary_10_3389_fpls_2018_00976 crossref_primary_10_1038_srep46446 crossref_primary_10_1186_s12859_016_1216_1 crossref_primary_10_1186_s12711_017_0286_5 crossref_primary_10_1016_j_ccell_2018_06_008 crossref_primary_10_3390_genes13071129 crossref_primary_10_1016_j_ymeth_2017_08_005 crossref_primary_10_1093_bib_bbq016 crossref_primary_10_1093_bib_bbq015 crossref_primary_10_1016_j_jfma_2020_08_028 crossref_primary_10_3389_fgene_2014_00468 crossref_primary_10_1093_bib_bbq013 crossref_primary_10_1371_journal_pone_0183606 crossref_primary_10_1093_hmg_ddv177 crossref_primary_10_1080_20013078_2018_1505403 crossref_primary_10_1038_s41598_017_18106_2 crossref_primary_10_1038_nrg2841 crossref_primary_10_1016_j_cell_2013_04_010 crossref_primary_10_1038_s41559_021_01614_w crossref_primary_10_1016_j_fm_2021_103753 crossref_primary_10_1016_j_ymeth_2016_01_020 crossref_primary_10_1038_ng_691 crossref_primary_10_1093_hmg_ddy431 crossref_primary_10_1002_rth2_12031 crossref_primary_10_1186_s12920_023_01495_x crossref_primary_10_1371_journal_pone_0063377 crossref_primary_10_1186_s12864_024_11109_0 crossref_primary_10_1038_nbt_3943 crossref_primary_10_1073_pnas_1601232113 crossref_primary_10_1038_s10038_019_0569_5 crossref_primary_10_1111_tpj_12254 crossref_primary_10_1016_j_canlet_2012_11_025 crossref_primary_10_1016_j_tube_2014_02_005 crossref_primary_10_1186_s12864_023_09739_x crossref_primary_10_1002_humu_22339 crossref_primary_10_1002_cpet_2 crossref_primary_10_1016_j_tig_2013_07_006 crossref_primary_10_1093_bioinformatics_btu068 crossref_primary_10_1534_genetics_114_170340 crossref_primary_10_1089_crispr_2020_0111 crossref_primary_10_1093_gbe_evx170 crossref_primary_10_1111_cdev_12051 crossref_primary_10_3390_genes10080581 crossref_primary_10_1186_s12859_020_03859_x crossref_primary_10_1007_s13258_015_0370_6 crossref_primary_10_1371_journal_pone_0212228 crossref_primary_10_1016_j_cell_2013_06_040 crossref_primary_10_1186_2047_217X_3_34 crossref_primary_10_1038_s41598_022_09433_0 crossref_primary_10_1371_journal_pgen_1006404 crossref_primary_10_4137_CIN_S30793 crossref_primary_10_1093_bioinformatics_btw477 crossref_primary_10_1111_pbi_13532 crossref_primary_10_1007_s13258_015_0272_7 crossref_primary_10_18632_oncotarget_5951 crossref_primary_10_1002_gcc_20757 crossref_primary_10_3109_21678421_2015_1040029 crossref_primary_10_1186_1471_2105_12_S14_S7 crossref_primary_10_1186_1471_2164_12_375 crossref_primary_10_1016_j_plabm_2020_e00153 crossref_primary_10_1093_bib_bbaa370 crossref_primary_10_1186_s12870_023_04631_y crossref_primary_10_1007_s00468_018_1737_5 crossref_primary_10_1186_s12864_016_2366_2 crossref_primary_10_1126_science_1241459 crossref_primary_10_1155_2015_196591 crossref_primary_10_1038_nrg2814 crossref_primary_10_1186_s12864_018_4718_6 crossref_primary_10_1186_1471_2164_15_1039 crossref_primary_10_3389_fgene_2019_00685 crossref_primary_10_3389_fimmu_2023_1151224 crossref_primary_10_1186_s12864_015_1592_3 crossref_primary_10_1016_j_isci_2023_106397 crossref_primary_10_1111_j_1749_6632_2010_05880_x crossref_primary_10_1093_nar_gku849 crossref_primary_10_1016_j_jmoldx_2011_01_006 crossref_primary_10_1093_gbe_evu284 crossref_primary_10_3389_fpls_2022_779830 crossref_primary_10_1093_gbe_evt199 crossref_primary_10_1097_IAE_0000000000003611 crossref_primary_10_1016_j_stemcr_2014_05_019 crossref_primary_10_1093_genetics_iyae032 crossref_primary_10_1371_journal_pone_0164212 crossref_primary_10_1186_1471_2105_15_299 crossref_primary_10_3390_ijms161024081 crossref_primary_10_1101_gr_213538_116 crossref_primary_10_1534_g3_117_300421 crossref_primary_10_1371_journal_pgen_1004830 crossref_primary_10_3389_fgene_2016_00160 crossref_primary_10_1016_j_canlet_2012_12_028 crossref_primary_10_1111_age_13351 crossref_primary_10_1007_s00439_023_02579_5 crossref_primary_10_1186_s12864_018_4712_z crossref_primary_10_1016_j_cell_2013_03_002 crossref_primary_10_1038_nature08989 crossref_primary_10_1038_jhg_2014_88 crossref_primary_10_1186_s12864_021_07897_4 crossref_primary_10_1016_j_jare_2022_04_014 crossref_primary_10_3390_horticulturae9030361 crossref_primary_10_3389_fgene_2018_00449 crossref_primary_10_1093_molehr_gav060 crossref_primary_10_1038_s41586_024_08307_x crossref_primary_10_1186_1756_0381_6_13 crossref_primary_10_1101_gr_161497_113 crossref_primary_10_1186_s12915_018_0622_4 crossref_primary_10_3390_cancers7030837 crossref_primary_10_1093_bfgp_elv014 crossref_primary_10_1038_s41559_017_0242_3 crossref_primary_10_1177_0300060519862069 crossref_primary_10_1186_s12859_015_0795_6 crossref_primary_10_1016_j_gpb_2020_10_006 crossref_primary_10_1371_journal_pone_0241137 crossref_primary_10_1186_s12864_015_1526_0 crossref_primary_10_1094_PDIS_09_23_1743_RE crossref_primary_10_1101_mcs_a000729 crossref_primary_10_3389_fgene_2019_00242 crossref_primary_10_1631_jzus_B1600301 crossref_primary_10_1093_nar_gku642 crossref_primary_10_1093_bioinformatics_btq528 crossref_primary_10_1186_s13104_022_05982_9 crossref_primary_10_3389_fgene_2015_00045 crossref_primary_10_1002_humu_22984 crossref_primary_10_1186_s12864_020_06791_9 crossref_primary_10_1007_s13562_020_00602_8 crossref_primary_10_1186_s12863_019_0799_8 crossref_primary_10_1371_journal_pone_0186721 crossref_primary_10_1016_j_stem_2012_03_002 crossref_primary_10_1186_s13059_023_03109_2 crossref_primary_10_1038_s41431_019_0341_5 crossref_primary_10_1371_journal_pone_0181037 crossref_primary_10_1111_pbi_12825 crossref_primary_10_1186_s12864_019_6136_9 crossref_primary_10_1111_1758_2229_12885 crossref_primary_10_1093_bioinformatics_btw053 crossref_primary_10_1101_gr_187237_114 crossref_primary_10_1186_s12864_017_4021_y crossref_primary_10_1038_nrg3767 crossref_primary_10_1016_j_jmoldx_2015_09_005 crossref_primary_10_1186_s13059_016_1024_y crossref_primary_10_1016_j_cels_2016_05_007 crossref_primary_10_1098_rspb_2016_0749 crossref_primary_10_1186_s13073_017_0401_9 crossref_primary_10_1073_pnas_2009628117 crossref_primary_10_3390_biomedicines9020219 crossref_primary_10_1186_s13068_017_0897_7 crossref_primary_10_1371_journal_pgen_1001111 crossref_primary_10_1016_j_jmoldx_2018_06_007 crossref_primary_10_1093_bioinformatics_btaa059 crossref_primary_10_1016_j_ecoenv_2020_110231 crossref_primary_10_1093_g3journal_jkad258 crossref_primary_10_1016_j_fgb_2017_08_008 crossref_primary_10_1093_gbe_evac080 crossref_primary_10_1007_s13580_020_00330_x crossref_primary_10_3390_plants11010028 crossref_primary_10_1016_j_xplc_2023_100728 crossref_primary_10_1101_gad_213686_113 crossref_primary_10_1186_s13059_016_0993_1 crossref_primary_10_1038_s41467_021_25795_x crossref_primary_10_1101_gr_186114_114 crossref_primary_10_3389_fgene_2019_00215 crossref_primary_10_1002_0471250953_bi1506s45 crossref_primary_10_1038_s41467_024_54661_9 crossref_primary_10_1186_s12920_020_00738_5 crossref_primary_10_1101_gr_275911_121 crossref_primary_10_1186_1471_2105_13_279 crossref_primary_10_1159_000519238 crossref_primary_10_3389_fmicb_2019_00443 crossref_primary_10_3892_mmr_2017_7805 crossref_primary_10_1038_tpj_2014_17 crossref_primary_10_1093_carcin_bgv154 crossref_primary_10_1371_journal_pone_0148150 crossref_primary_10_1038_s10038_021_00955_5 crossref_primary_10_1016_j_cell_2017_01_037 crossref_primary_10_1002_humu_23845 crossref_primary_10_1016_j_ygeno_2023_110568 crossref_primary_10_1016_j_mce_2016_06_007 crossref_primary_10_1186_s12859_014_0428_5 crossref_primary_10_1073_pnas_1700751114 crossref_primary_10_1016_j_cancergen_2011_07_009 crossref_primary_10_1200_JCO_2012_46_8470 crossref_primary_10_1038_s41598_019_55455_6 crossref_primary_10_3389_fcimb_2024_1367656 crossref_primary_10_1093_molbev_msv082 crossref_primary_10_1586_erm_11_3 crossref_primary_10_2174_1574893613666180703110126 crossref_primary_10_1139_gen_2017_0008 crossref_primary_10_1038_ng_3021 crossref_primary_10_1007_s00253_017_8574_0 crossref_primary_10_1101_gr_222109_117 crossref_primary_10_1101_gr_214767_116 crossref_primary_10_1007_s40142_016_0091_4 crossref_primary_10_1186_1471_2105_15_S11_S10 crossref_primary_10_1002_humu_22091 crossref_primary_10_1080_15592294_2024_2318519 crossref_primary_10_1186_s13059_019_1828_7 crossref_primary_10_1038_nature10432 crossref_primary_10_3390_genes15040443 crossref_primary_10_1159_000495687 crossref_primary_10_1038_nmeth_2085 crossref_primary_10_26508_lsa_202302204 crossref_primary_10_1186_s12864_018_4490_7 crossref_primary_10_1016_j_ajhg_2012_12_005 crossref_primary_10_1093_bioinformatics_bty183 crossref_primary_10_1038_srep14493 crossref_primary_10_1186_s12859_017_1760_3 crossref_primary_10_1093_brain_awaa039 crossref_primary_10_1073_pnas_1321897111 crossref_primary_10_1101_gr_185041_114 crossref_primary_10_1093_bioinformatics_btr317 crossref_primary_10_1186_1471_2105_12_S9_S21 crossref_primary_10_1134_S1022795420060149 crossref_primary_10_1093_bioinformatics_btu828 crossref_primary_10_1371_journal_pcbi_1000988 crossref_primary_10_1177_24741264221129432 crossref_primary_10_1155_2020_5903863 crossref_primary_10_1007_s00253_017_8717_3 crossref_primary_10_1270_jsbbs_18024 crossref_primary_10_1186_1475_2859_10_18 crossref_primary_10_1128_msystems_01366_21 crossref_primary_10_1016_j_cell_2013_09_034 crossref_primary_10_1093_bioinformatics_btq216 crossref_primary_10_1186_s12859_017_1829_z crossref_primary_10_1016_j_pmpp_2023_102006 crossref_primary_10_1098_rspb_2017_0635 crossref_primary_10_1586_14737159_2015_961916 crossref_primary_10_3389_fpls_2023_1104303 crossref_primary_10_1038_s41551_022_00980_5 crossref_primary_10_1038_s41467_019_11146_4 crossref_primary_10_1002_mgg3_1114 crossref_primary_10_1016_j_mrfmmm_2021_111757 crossref_primary_10_7717_peerj_12564 crossref_primary_10_1038_ng_3230 crossref_primary_10_1371_journal_pone_0111153 crossref_primary_10_1016_j_stem_2012_01_005 crossref_primary_10_1002_path_4318 crossref_primary_10_1093_bioinformatics_btu600 crossref_primary_10_3390_genes9070331 crossref_primary_10_1093_nar_gkv216 crossref_primary_10_26508_lsa_202201843 crossref_primary_10_3389_fmicb_2020_00626 crossref_primary_10_1016_j_cell_2014_02_019 crossref_primary_10_1038_s41380_018_0020_x crossref_primary_10_1007_s00335_016_9663_6 crossref_primary_10_3389_fgene_2021_700874 crossref_primary_10_1093_molbev_msv282 crossref_primary_10_1186_s13073_015_0126_6 crossref_primary_10_1093_bib_bbu047 crossref_primary_10_1093_bioinformatics_btr563 crossref_primary_10_1007_s42770_022_00772_8 crossref_primary_10_1016_j_ajhg_2016_03_017 crossref_primary_10_5713_ajas_18_0204 crossref_primary_10_3389_fgene_2021_665812 crossref_primary_10_1093_jxb_err422 crossref_primary_10_1534_genetics_116_196667 crossref_primary_10_1099_mic_0_000207 crossref_primary_10_3389_fgene_2021_550676 crossref_primary_10_5858_arpa_2012_0107_RA crossref_primary_10_1016_j_ygeno_2017_12_002 crossref_primary_10_1007_s00335_012_9402_6 crossref_primary_10_1007_s00439_014_1437_1 crossref_primary_10_1371_journal_pone_0122287 crossref_primary_10_3892_mco_2023_2678 crossref_primary_10_1186_s13104_020_05271_3 crossref_primary_10_1186_gb_2014_15_4_r55 crossref_primary_10_1016_j_watres_2017_01_047 crossref_primary_10_1089_cmb_2016_0124 crossref_primary_10_1016_j_gde_2022_101918 crossref_primary_10_1534_g3_113_005660 crossref_primary_10_3389_fvets_2024_1416220 crossref_primary_10_1186_s12859_017_1566_3 crossref_primary_10_1186_gm362 crossref_primary_10_1007_s40484_018_0137_6 crossref_primary_10_1016_j_jhazmat_2023_133354 crossref_primary_10_3390_genes3030545 crossref_primary_10_3389_fgene_2020_00688 crossref_primary_10_1128_mSphere_00541_18 crossref_primary_10_1172_jci_insight_185874 crossref_primary_10_1271_bbb_130438 crossref_primary_10_1136_gutjnl_2014_308859 crossref_primary_10_1186_1752_0509_7_S6_S8 crossref_primary_10_1186_s12864_024_10875_1 crossref_primary_10_1093_molehr_gaab034 crossref_primary_10_2478_s11756_012_0026_9 crossref_primary_10_1093_gbe_evab165 crossref_primary_10_1093_nar_gku590 crossref_primary_10_1038_s41467_019_09312_9 crossref_primary_10_1093_bioinformatics_btt767 crossref_primary_10_1016_j_jgg_2017_05_005 crossref_primary_10_1186_s13073_014_0112_4 crossref_primary_10_1534_genetics_114_163147 crossref_primary_10_1093_bib_bbs086 crossref_primary_10_1007_s00335_012_9424_0 crossref_primary_10_1038_nature13968 crossref_primary_10_1093_bioinformatics_btv707 crossref_primary_10_1093_bioinformatics_btt556 crossref_primary_10_1038_ncomms8256 crossref_primary_10_1146_annurev_animal_090414_014900 crossref_primary_10_1186_s40104_023_00929_x crossref_primary_10_1093_gigascience_gix067 crossref_primary_10_1016_j_jmoldx_2017_01_011 crossref_primary_10_1371_journal_pgen_1008642 crossref_primary_10_18632_oncotarget_15802 crossref_primary_10_1093_bioinformatics_btu647 crossref_primary_10_1007_s13258_018_0772_3 crossref_primary_10_1016_j_ijbiomac_2023_128559 crossref_primary_10_1016_j_jmoldx_2014_03_006 crossref_primary_10_1186_s12859_017_1929_9 crossref_primary_10_3390_ani11020541 crossref_primary_10_1093_nar_gky538 crossref_primary_10_1007_s00432_023_04616_2 crossref_primary_10_3389_fonc_2023_1036356 crossref_primary_10_1038_srep19787 crossref_primary_10_1007_s12038_015_9501_0 crossref_primary_10_3390_ph16101443 crossref_primary_10_1101_gad_239681_114 crossref_primary_10_3389_fevo_2021_664835 crossref_primary_10_1093_bib_bbu001 crossref_primary_10_1038_ng_3651 crossref_primary_10_1186_s12862_020_01715_3 crossref_primary_10_1186_s12864_015_2305_7 crossref_primary_10_1093_bioinformatics_btv751 crossref_primary_10_1038_modpathol_2013_235 crossref_primary_10_1093_bioinformatics_bts484 crossref_primary_10_1038_ng_1031 crossref_primary_10_1093_bib_bbae269 crossref_primary_10_1186_gb_2013_14_7_r80 crossref_primary_10_1016_j_ygeno_2025_111010 crossref_primary_10_1002_biot_202200504 crossref_primary_10_1186_s13068_023_02354_8 crossref_primary_10_3390_ani12030321 crossref_primary_10_1093_gigascience_gix091 crossref_primary_10_1111_mec_16141 crossref_primary_10_1016_j_yexmp_2013_09_006 crossref_primary_10_1038_modpathol_2017_60 crossref_primary_10_1093_bioinformatics_btw605 crossref_primary_10_1126_scitranslmed_abn1926 crossref_primary_10_1145_3340286 crossref_primary_10_1152_physiolgenomics_00082_2012 crossref_primary_10_1016_j_semcdb_2021_08_007 crossref_primary_10_1016_j_celrep_2022_111761 crossref_primary_10_1128_jb_00284_24 crossref_primary_10_1186_s13071_020_04397_4 crossref_primary_10_1371_journal_pone_0113324 crossref_primary_10_1093_bib_bbs044 crossref_primary_10_1093_molbev_msab244 crossref_primary_10_1128_aem_00480_22 crossref_primary_10_1016_j_tplants_2019_10_012 crossref_primary_10_1101_gr_241240_118 crossref_primary_10_1093_bioinformatics_btq293 crossref_primary_10_1371_journal_pone_0086731 crossref_primary_10_1371_journal_pgen_1004261 crossref_primary_10_1371_journal_pcbi_1004274 crossref_primary_10_1093_gigascience_giz040 crossref_primary_10_1016_j_aquaculture_2023_740126 crossref_primary_10_1038_nature21386 crossref_primary_10_1186_s13059_021_02351_w crossref_primary_10_1038_nmeth_4084 crossref_primary_10_1038_s41598_020_62364_6 crossref_primary_10_1038_ng_3430 crossref_primary_10_1186_1471_2164_13_241 crossref_primary_10_1371_journal_pone_0021639 crossref_primary_10_1098_rstb_2018_0240 crossref_primary_10_1016_j_canlet_2017_03_012 crossref_primary_10_1093_bioinformatics_btx712 crossref_primary_10_1111_eva_13753 crossref_primary_10_3168_jds_2018_16100 crossref_primary_10_1371_journal_pone_0147749 crossref_primary_10_1038_nmeth_1628 crossref_primary_10_1186_1471_2164_14_253 crossref_primary_10_1002_advs_201901672 crossref_primary_10_1007_s00122_017_3019_9 crossref_primary_10_1186_s12859_016_1312_2 crossref_primary_10_1371_journal_pone_0284656 crossref_primary_10_1136_jmedgenet_2018_105778 crossref_primary_10_1038_ng_3866 crossref_primary_10_1007_s00122_015_2543_8 crossref_primary_10_1186_1471_2164_13_692 crossref_primary_10_1038_s41467_018_04093_z crossref_primary_10_1093_bioinformatics_btu431 crossref_primary_10_1007_s00439_022_02496_z crossref_primary_10_1093_gigascience_giaa145 crossref_primary_10_12688_f1000research_148237_1 crossref_primary_10_1101_gr_212373_116 crossref_primary_10_1186_gb_2010_11_5_r52 crossref_primary_10_1007_s10142_012_0289_9 crossref_primary_10_1155_2018_7984292 crossref_primary_10_1007_s00439_014_1479_4 crossref_primary_10_1186_s12920_020_0729_7 crossref_primary_10_1038_s41419_021_04223_4 crossref_primary_10_1186_s13059_018_1505_2 crossref_primary_10_1371_journal_pone_0240429 crossref_primary_10_1109_TCBB_2019_2934463 crossref_primary_10_1186_s12864_015_1376_9 crossref_primary_10_1158_0008_5472_CAN_16_0979 crossref_primary_10_3389_fgene_2024_1461115 crossref_primary_10_1093_bioinformatics_bts019 crossref_primary_10_1186_s12885_015_1955_9 crossref_primary_10_1007_s00253_023_12362_1 crossref_primary_10_3389_fgene_2024_1463774 crossref_primary_10_1177_1177932219892957 crossref_primary_10_1093_bfgp_elq025 crossref_primary_10_1094_MPMI_06_21_0137_R crossref_primary_10_1371_journal_pone_0263980 crossref_primary_10_1186_gb_2013_14_8_r87 crossref_primary_10_1371_journal_pone_0083012 crossref_primary_10_1038_s41477_019_0452_6 crossref_primary_10_1101_mcs_a001362 crossref_primary_10_1073_pnas_1801437115 crossref_primary_10_7717_peerj_1223 crossref_primary_10_1371_journal_pone_0159708 crossref_primary_10_1093_bioinformatics_btr184 crossref_primary_10_1101_gr_253435_119 crossref_primary_10_1093_bioinformatics_btv304 crossref_primary_10_1111_mec_16331 crossref_primary_10_1016_j_cell_2024_08_040 crossref_primary_10_1101_gr_150615_112 crossref_primary_10_1105_tpc_19_00640 crossref_primary_10_3168_jds_2021_21625 crossref_primary_10_1093_bioinformatics_bts272 crossref_primary_10_1038_labinvest_2016_64 crossref_primary_10_1016_j_omtn_2020_01_023 crossref_primary_10_1038_nature11143 crossref_primary_10_1093_hr_uhad255 crossref_primary_10_1038_s41598_021_96896_2 crossref_primary_10_1101_gr_234948_118 crossref_primary_10_1128_mSphere_00693_18 crossref_primary_10_1186_s12864_016_2824_x crossref_primary_10_1016_j_ymben_2017_04_002 crossref_primary_10_1038_s41598_023_32568_7 crossref_primary_10_1016_j_jbc_2023_105436 crossref_primary_10_1101_mcs_a002444 crossref_primary_10_1016_j_jmoldx_2022_06_006 crossref_primary_10_1371_journal_pone_0112963 crossref_primary_10_1371_journal_pone_0183921 crossref_primary_10_1007_s11888_014_0244_3 crossref_primary_10_1016_j_ygeno_2017_01_005 crossref_primary_10_1172_JCI45284 crossref_primary_10_1093_bioinformatics_btu360 crossref_primary_10_1038_s41598_021_93555_4 crossref_primary_10_1111_tpj_14349 crossref_primary_10_1371_journal_pone_0061292 crossref_primary_10_1016_j_ajhg_2012_07_004 crossref_primary_10_1038_s41559_017_0250_3 crossref_primary_10_1371_journal_pone_0113800 crossref_primary_10_1371_journal_pmed_1002174 crossref_primary_10_1093_mutage_geu031 crossref_primary_10_1128_spectrum_03361_22 crossref_primary_10_1093_bioinformatics_btv204 crossref_primary_10_1002_jat_3463 crossref_primary_10_1371_journal_pone_0108479 crossref_primary_10_1016_j_apsb_2023_06_003 crossref_primary_10_1534_genetics_116_192823 crossref_primary_10_1038_srep03807 crossref_primary_10_1007_s11427_018_9458_0 crossref_primary_10_1371_journal_pone_0120585 crossref_primary_10_1186_1687_4153_2012_15 crossref_primary_10_1371_journal_pone_0066729 crossref_primary_10_1186_s12915_022_01257_8 crossref_primary_10_1186_s41065_020_00130_4 crossref_primary_10_1016_j_ymeth_2016_07_020 crossref_primary_10_1093_mutage_geu026 crossref_primary_10_1016_j_jmb_2015_09_003 crossref_primary_10_3390_ijms20051039 crossref_primary_10_1101_gr_223693_117 crossref_primary_10_1007_s00294_016_0573_7 crossref_primary_10_1111_hae_14402 crossref_primary_10_1093_nar_gkw282 crossref_primary_10_1002_ana_24319 crossref_primary_10_1093_nar_gkw281 crossref_primary_10_18632_oncoscience_178 crossref_primary_10_1016_j_ejmg_2021_104332 crossref_primary_10_1186_1471_2105_15_63 crossref_primary_10_1007_s11033_020_05895_5 crossref_primary_10_1101_gr_102970_109 crossref_primary_10_1126_sciadv_adi5945 crossref_primary_10_1016_j_prp_2022_153760 crossref_primary_10_1186_s12859_021_04499_5 crossref_primary_10_1186_s43141_023_00587_6 crossref_primary_10_1038_s41438_020_00426_6 crossref_primary_10_1016_j_gpb_2021_03_007 crossref_primary_10_1016_j_meomic_2020_100002 crossref_primary_10_1016_j_molp_2020_11_008 crossref_primary_10_1186_1471_2164_15_41 crossref_primary_10_1093_bib_bbp058 crossref_primary_10_3389_fmicb_2017_02210 crossref_primary_10_1093_bib_bbaa056 crossref_primary_10_1099_mic_0_069534_0 crossref_primary_10_1080_14737159_2018_1461561 crossref_primary_10_1371_journal_pone_0064571 crossref_primary_10_1186_1471_2105_15_78 crossref_primary_10_3390_genes11121501 crossref_primary_10_1016_j_mrrev_2019_02_005 crossref_primary_10_1038_nrgastro_2012_126 crossref_primary_10_1055_s_0040_1715639 crossref_primary_10_1186_1471_2105_15_71 crossref_primary_10_1099_mic_0_053280_0 crossref_primary_10_1093_plphys_kiae218 crossref_primary_10_1089_zeb_2012_0848 crossref_primary_10_1016_j_cell_2012_02_009 crossref_primary_10_1038_srep31088 crossref_primary_10_1126_sciadv_adk7906 crossref_primary_10_5713_ab_22_0432 crossref_primary_10_7717_peerj_793 crossref_primary_10_3390_cancers3044191 crossref_primary_10_1038_s41598_018_22323_8 crossref_primary_10_3390_horticulturae11010106 crossref_primary_10_1038_s41467_021_21026_5 crossref_primary_10_1186_s13059_024_03394_5 crossref_primary_10_1098_rspb_2016_1785 crossref_primary_10_1080_14737159_2024_2396866 crossref_primary_10_1007_s00439_019_02037_1 crossref_primary_10_1038_ncb3378 crossref_primary_10_1182_blood_2019003701 crossref_primary_10_1093_gbe_evy151 crossref_primary_10_1016_j_humpath_2014_04_012 crossref_primary_10_1186_s12864_018_4683_0 crossref_primary_10_1002_0471250953_bi1101s36 crossref_primary_10_3390_biology13110923 crossref_primary_10_1007_s00122_024_04696_9 crossref_primary_10_1186_s12859_016_1296_y crossref_primary_10_1186_s12870_014_0225_3 crossref_primary_10_3389_fpls_2019_01399 crossref_primary_10_1038_nrg2958 crossref_primary_10_1186_s12859_016_1272_6 crossref_primary_10_1111_pbi_13646 crossref_primary_10_1093_bioinformatics_btx455 crossref_primary_10_1016_j_mrrev_2013_07_003 crossref_primary_10_1038_ncomms14581 crossref_primary_10_3389_fmicb_2024_1332458 crossref_primary_10_1007_s00122_023_04326_w crossref_primary_10_1038_s41598_018_23837_x crossref_primary_10_5808_GI_2019_17_4_e40 crossref_primary_10_1002_0471142905_hg0719s75 crossref_primary_10_1073_pnas_1110574108 crossref_primary_10_1038_ng_3807 crossref_primary_10_1371_journal_pgen_1007853 crossref_primary_10_1038_s41467_019_13397_7 crossref_primary_10_1155_2024_9692863 crossref_primary_10_1186_s13058_022_01540_0 crossref_primary_10_36899_JAPS_2023_6_0687 crossref_primary_10_1186_s12864_020_6619_8 crossref_primary_10_1038_s41467_022_32353_6 crossref_primary_10_1111_jph_70031 crossref_primary_10_1186_s13059_014_0428_9 crossref_primary_10_1038_nature24286 crossref_primary_10_1038_s41598_022_08576_4 crossref_primary_10_1186_1471_2164_15_84 crossref_primary_10_1186_s12859_019_3299_y crossref_primary_10_1093_bioinformatics_btw591 crossref_primary_10_1186_s12864_015_1479_3 crossref_primary_10_1111_gtc_13129 crossref_primary_10_1093_femsec_fiv057 crossref_primary_10_3732_ajb_1600415 crossref_primary_10_1089_cmb_2012_0098 crossref_primary_10_1111_mec_17141 crossref_primary_10_1038_s42003_019_0474_7 crossref_primary_10_1186_gb_2014_15_6_r84 crossref_primary_10_1038_modpathol_2012_29 crossref_primary_10_4018_ijsbbt_2013100106 crossref_primary_10_1016_j_lwt_2023_115606 crossref_primary_10_1038_s41388_020_01573_9 crossref_primary_10_1111_tpj_12569 crossref_primary_10_1073_pnas_1418577112 crossref_primary_10_1109_TVCG_2010_163 crossref_primary_10_1186_s13059_016_1056_3 crossref_primary_10_26508_lsa_202302181 crossref_primary_10_1186_s12864_020_06804_7 crossref_primary_10_15406_jcpcr_2017_07_00221 crossref_primary_10_1093_nar_gkv828 crossref_primary_10_1007_s42161_019_00401_8 crossref_primary_10_1038_hortres_2014_45 crossref_primary_10_1186_s12885_019_5536_1 crossref_primary_10_1101_gr_162883_113 crossref_primary_10_1016_j_biortech_2021_125467 crossref_primary_10_1186_s13059_020_02076_2 crossref_primary_10_1038_s41586_021_04066_1 crossref_primary_10_1186_1471_2105_13_S6_S10 crossref_primary_10_1002_humu_22815 crossref_primary_10_1186_1471_2105_15_163 crossref_primary_10_1371_journal_pone_0234505 crossref_primary_10_1002_humu_22814 crossref_primary_10_1101_gr_154625_113 crossref_primary_10_1371_journal_pone_0201854 crossref_primary_10_1136_amiajnl_2013_002155 crossref_primary_10_1007_s11105_018_1103_1 crossref_primary_10_1212_NXG_0000000000000164 crossref_primary_10_1016_j_ebiom_2015_10_028 crossref_primary_10_1186_1471_2105_14_S11_S1 crossref_primary_10_1371_journal_pone_0166721 crossref_primary_10_1038_s41380_021_01383_9 crossref_primary_10_1051_e3sconf_202338801007 crossref_primary_10_1038_ncomms6969 crossref_primary_10_1016_j_ceca_2018_10_001 crossref_primary_10_1186_1471_2105_16_S18_S5 crossref_primary_10_1186_1471_2105_12_S6_S3 crossref_primary_10_1186_s13073_025_01444_6 crossref_primary_10_5808_GI_2020_18_1_e4 crossref_primary_10_1038_ng_768 crossref_primary_10_1186_1471_2105_12_S6_S4 crossref_primary_10_3389_fpls_2016_00132 crossref_primary_10_1101_gr_256701_119 crossref_primary_10_1101_gr_120501_111 crossref_primary_10_3390_ijms21165778 crossref_primary_10_3390_ijms252211897 crossref_primary_10_1038_s41467_017_00963_0 crossref_primary_10_1038_nature09708 crossref_primary_10_1038_nmeth_1374 crossref_primary_10_1093_nar_gkz169 crossref_primary_10_1016_j_ejmg_2019_103776 crossref_primary_10_1093_bib_bbx170 crossref_primary_10_1186_1471_2105_15_180 crossref_primary_10_1038_ejhg_2013_232 crossref_primary_10_1111_tpj_12793 crossref_primary_10_1186_s12864_017_3895_z crossref_primary_10_3389_fgene_2020_00230 crossref_primary_10_1186_1471_2164_15_991 crossref_primary_10_1089_cmb_2013_0129 crossref_primary_10_1016_j_ymeth_2017_05_030 crossref_primary_10_1186_1471_2105_14_S5_S6 crossref_primary_10_1371_journal_pone_0099069 crossref_primary_10_1038_s41438_021_00648_2 crossref_primary_10_1073_pnas_1810140115 crossref_primary_10_3390_jcm9010132 crossref_primary_10_3389_fmicb_2019_02506 crossref_primary_10_1534_g3_111_000307 crossref_primary_10_3389_fgene_2014_00192 crossref_primary_10_3390_fermentation9050483 crossref_primary_10_1186_s12864_020_06900_8 crossref_primary_10_1073_pnas_1601208113 crossref_primary_10_1126_science_1245503 crossref_primary_10_1101_gr_196006_115 crossref_primary_10_1186_s13059_019_1720_5 crossref_primary_10_1186_1471_2164_11_284 crossref_primary_10_1186_gb_2012_13_8_r72 crossref_primary_10_1186_s12859_017_1464_8 crossref_primary_10_1016_j_ygeno_2020_10_012 crossref_primary_10_4103_2153_3539_103013 crossref_primary_10_1038_srep02998 crossref_primary_10_1093_nar_gkx1193 crossref_primary_10_1371_journal_pcbi_1002821 crossref_primary_10_1016_j_mimet_2016_02_016 crossref_primary_10_1038_s41467_018_08200_y crossref_primary_10_1016_j_csbj_2018_10_002 crossref_primary_10_1007_s00335_019_09812_5 crossref_primary_10_3389_fgene_2021_615958 crossref_primary_10_1371_journal_pone_0117771 crossref_primary_10_1007_s43032_024_01470_6 crossref_primary_10_1073_pnas_1205299110 crossref_primary_10_1186_1471_2105_13_S6_S6 crossref_primary_10_1371_journal_pone_0087090 crossref_primary_10_1007_s11120_015_0111_3 crossref_primary_10_1007_s11042_019_7368_z crossref_primary_10_1021_acs_jafc_0c06867 crossref_primary_10_1016_j_cll_2012_07_005 crossref_primary_10_1093_bioinformatics_btae539 crossref_primary_10_1534_genetics_116_191122 crossref_primary_10_1186_s13059_021_02316_z crossref_primary_10_1371_journal_pgen_1001233 crossref_primary_10_1016_j_plaphy_2020_02_023 crossref_primary_10_1093_gbe_evt095 crossref_primary_10_1093_nar_gkv831 crossref_primary_10_1016_j_tig_2014_07_008 crossref_primary_10_3390_genes12081267 crossref_primary_10_1093_g3journal_jkab194 crossref_primary_10_1038_srep46759 crossref_primary_10_1186_s12864_016_2589_2 crossref_primary_10_1101_gr_211656_116 crossref_primary_10_1016_j_cancergen_2013_11_002 crossref_primary_10_1038_nature10738 crossref_primary_10_1073_pnas_1716459114 crossref_primary_10_1093_ismeco_ycae039 crossref_primary_10_1007_s12038_017_9686_5 crossref_primary_10_1093_nar_gkv605 crossref_primary_10_3892_or_2015_4501 crossref_primary_10_1007_s10142_013_0319_2 crossref_primary_10_1101_mcs_a001909 crossref_primary_10_4103_1673_5374_293135 crossref_primary_10_1186_s13007_021_00765_y crossref_primary_10_1186_gm524 crossref_primary_10_1186_s13059_018_1421_5 crossref_primary_10_1182_blood_2014_07_591461 crossref_primary_10_1111_njb_04526 crossref_primary_10_1016_j_biocel_2017_09_018 crossref_primary_10_1158_1078_0432_CCR_18_2068 crossref_primary_10_3389_fpls_2021_752108 crossref_primary_10_1007_s00122_017_2993_2 crossref_primary_10_1109_TCBB_2016_2576441 crossref_primary_10_1016_j_ygeno_2015_01_009 crossref_primary_10_3233_CBM_191200 crossref_primary_10_1093_nar_gkv533 crossref_primary_10_3390_cells12030470 crossref_primary_10_2503_hortj_QH_100 crossref_primary_10_1038_srep18501 crossref_primary_10_3389_fpls_2017_01851 crossref_primary_10_1093_bfgp_elr042 crossref_primary_10_1111_j_1467_9868_2012_01028_x crossref_primary_10_5598_imafungus_2012_03_01_10 crossref_primary_10_1186_s12864_015_2106_z crossref_primary_10_1007_s10725_022_00926_6 crossref_primary_10_1200_JCO_2013_48_7215 crossref_primary_10_1093_dnares_dsr042 crossref_primary_10_1534_g3_119_400555 crossref_primary_10_1586_erm_12_119 crossref_primary_10_3390_cimb45120608 crossref_primary_10_1186_gb_2012_13_6_r45 crossref_primary_10_1111_mec_14494 crossref_primary_10_1007_s10096_017_3026_4 crossref_primary_10_7717_peerj_8867 crossref_primary_10_1186_gb_2010_11_12_r128 crossref_primary_10_3892_etm_2016_3797 crossref_primary_10_1007_s12064_012_0168_x crossref_primary_10_1038_nature09796 crossref_primary_10_1667_RR15053_1 crossref_primary_10_26508_lsa_202201543 crossref_primary_10_1136_jmedgenet_2015_103001 crossref_primary_10_1186_s12934_018_1006_8 crossref_primary_10_1094_MPMI_34_11 crossref_primary_10_1093_bioinformatics_btq587 crossref_primary_10_1128_CMR_00001_16 crossref_primary_10_1093_gbe_evr038 crossref_primary_10_1111_cge_14291 crossref_primary_10_1186_s13059_015_0633_1 crossref_primary_10_1016_j_jflm_2020_101896 crossref_primary_10_1007_s00253_013_5440_6 crossref_primary_10_1534_genetics_119_302881 crossref_primary_10_1186_1471_2164_14_S1_S8 crossref_primary_10_1002_mbo3_763 crossref_primary_10_1016_j_archoralbio_2020_104877 crossref_primary_10_1186_s12859_020_3414_0 crossref_primary_10_1016_j_mbs_2016_07_006 crossref_primary_10_1016_j_isci_2021_102950 crossref_primary_10_1038_nbt_1904 crossref_primary_10_1161_CIRCULATIONAHA_110_972828 crossref_primary_10_1186_s12864_018_5290_9 crossref_primary_10_1534_g3_116_029330 crossref_primary_10_1371_journal_pgen_1009429 crossref_primary_10_1016_j_biombioe_2023_107031 crossref_primary_10_1093_ve_vex023 crossref_primary_10_3389_fmicb_2023_1235616 crossref_primary_10_1158_0008_5472_CAN_17_1461 crossref_primary_10_1093_bib_bbv028 crossref_primary_10_3390_ijms23179750 crossref_primary_10_1101_gr_107524_110 crossref_primary_10_1371_journal_pone_0048314 crossref_primary_10_15252_embj_2021108225 crossref_primary_10_1016_j_ygeno_2016_10_006 crossref_primary_10_1073_pnas_1422504112 crossref_primary_10_1534_g3_116_030130 crossref_primary_10_1186_s12920_021_00948_5 crossref_primary_10_1002_pld3_173 crossref_primary_10_1016_j_jare_2022_09_008 crossref_primary_10_1128_JB_01896_14 crossref_primary_10_1038_s41375_018_0153_6 crossref_primary_10_1016_j_ygeno_2019_09_003 crossref_primary_10_3390_genes1020294 crossref_primary_10_1101_gr_174623_114 crossref_primary_10_3390_cancers13061212 crossref_primary_10_1101_gr_186148_114 crossref_primary_10_1109_TCBB_2012_138 crossref_primary_10_1182_blood_2013_04_494930 crossref_primary_10_12688_f1000research_6636_1 crossref_primary_10_1038_s41576_019_0180_9 crossref_primary_10_1158_0008_5472_CAN_13_0186 crossref_primary_10_1093_hmg_ddq391 crossref_primary_10_3389_fgene_2022_981269 crossref_primary_10_1038_nrg3367 crossref_primary_10_1158_2159_8290_CD_18_0349 crossref_primary_10_1186_s13059_017_1253_8 crossref_primary_10_4274_terh_galenos_2021_06978 crossref_primary_10_1007_s13353_022_00704_0 crossref_primary_10_1266_ggs_15_00078 crossref_primary_10_1093_bioinformatics_bts535 crossref_primary_10_1111_cge_13190 crossref_primary_10_1038_nbt_3027 crossref_primary_10_1093_bioinformatics_btu714 crossref_primary_10_4137_CIN_S13783 crossref_primary_10_3390_biology1020395 crossref_primary_10_1038_bjc_2013_416 crossref_primary_10_3892_mmr_2016_5014 crossref_primary_10_3390_horticulturae10020157 crossref_primary_10_1093_bioinformatics_bts566 crossref_primary_10_1186_s12864_015_1860_2 crossref_primary_10_1093_molbev_msaa006 crossref_primary_10_1186_1471_2164_16_S2_S13 crossref_primary_10_1631_jzus_B1600125 crossref_primary_10_1093_bfgp_elt040 crossref_primary_10_1021_acssynbio_1c00353 crossref_primary_10_1210_clinem_dgaa286 crossref_primary_10_1038_onc_2014_406 crossref_primary_10_1007_s40484_013_0005_3 crossref_primary_10_1007_s00439_015_1539_4 crossref_primary_10_7554_eLife_12966 crossref_primary_10_1186_s13059_019_1818_9 crossref_primary_10_1016_j_cell_2012_08_024 crossref_primary_10_1093_bioinformatics_btu730 crossref_primary_10_1080_14620316_2017_1361795 crossref_primary_10_1101_gr_106344_110 crossref_primary_10_1038_ncomms9018 crossref_primary_10_1093_nar_gks299 crossref_primary_10_1111_1755_0998_12226 crossref_primary_10_1128_JB_00560_16 crossref_primary_10_1093_jb_mvu076 crossref_primary_10_1038_s41598_020_64353_1 crossref_primary_10_1101_gr_136572_111 crossref_primary_10_1007_s11295_018_1303_8 crossref_primary_10_1371_journal_pone_0073514 crossref_primary_10_1038_s41559_018_0547_x crossref_primary_10_1093_molbev_msv152 crossref_primary_10_1038_ng_3356 crossref_primary_10_1093_nar_gkt1381 crossref_primary_10_1371_journal_pone_0083356 crossref_primary_10_1016_j_jplph_2020_153352 crossref_primary_10_1186_1471_2164_12_564 crossref_primary_10_1186_s13568_017_0512_0 crossref_primary_10_1172_JCI69766 crossref_primary_10_1373_clinchem_2014_223198 crossref_primary_10_1186_1471_2164_12_557 crossref_primary_10_1186_s12864_020_6736_4 crossref_primary_10_1101_gr_211201_116 crossref_primary_10_1038_nature11252 crossref_primary_10_1186_s12864_017_3636_3 crossref_primary_10_1016_j_yamp_2018_06_010 crossref_primary_10_1086_681598 crossref_primary_10_1093_nar_gku282 crossref_primary_10_1002_humu_23238 crossref_primary_10_1038_ng_3302 crossref_primary_10_1053_j_seminhematol_2014_08_003 crossref_primary_10_1126_science_aar5273 crossref_primary_10_1534_g3_116_029504 crossref_primary_10_1128_mBio_00166_17 crossref_primary_10_7717_peerj_5507 crossref_primary_10_1016_j_jare_2022_08_014 crossref_primary_10_1038_s41467_021_25862_3 crossref_primary_10_1111_exd_12054 crossref_primary_10_1038_s41467_020_20263_4 crossref_primary_10_1101_gr_135780_111 crossref_primary_10_3390_genes12071084 crossref_primary_10_1002_ajmg_a_62138 crossref_primary_10_1126_science_1215040 crossref_primary_10_1093_bioinformatics_btq153 crossref_primary_10_1016_j_rbmo_2021_11_016 crossref_primary_10_1093_bioinformatics_btq152 crossref_primary_10_1080_2159256X_2017_1280116 crossref_primary_10_1016_j_xgen_2023_100328 crossref_primary_10_18632_oncotarget_11796 crossref_primary_10_1073_pnas_2208496119 crossref_primary_10_1016_j_mrfmmm_2015_03_014 crossref_primary_10_1101_gr_142604_112 crossref_primary_10_1016_j_jbiotec_2017_02_026 crossref_primary_10_3390_ijms25158497 crossref_primary_10_1038_nbt_2134 crossref_primary_10_1186_s12859_015_0502_7 crossref_primary_10_1038_s41467_024_51508_1 crossref_primary_10_1093_bioinformatics_btu545 crossref_primary_10_1038_s41593_022_01031_7 crossref_primary_10_1101_gr_122564_111 crossref_primary_10_1038_s41421_019_0126_6 crossref_primary_10_1186_1471_2164_14_145 crossref_primary_10_1038_modpathol_2016_98 crossref_primary_10_1038_nmeth_f_308 crossref_primary_10_1093_bioinformatics_btu549 crossref_primary_10_1186_1471_2156_16_S2_S1 crossref_primary_10_1016_j_cell_2019_07_015 crossref_primary_10_1038_leu_2017_167 crossref_primary_10_1038_ncomms10464 crossref_primary_10_1371_journal_pone_0052881 crossref_primary_10_1016_j_omtm_2024_101372 crossref_primary_10_1093_molbev_msaa279 crossref_primary_10_1093_bioinformatics_btv621 crossref_primary_10_1093_molbev_msv119 crossref_primary_10_1371_journal_pgen_1004377 crossref_primary_10_1016_j_cell_2014_09_050 crossref_primary_10_1098_rspb_2018_1788 crossref_primary_10_1681_ASN_2019040398 crossref_primary_10_3389_fgene_2020_00901 crossref_primary_10_1214_15_AOAS892 crossref_primary_10_1016_j_jmoldx_2021_07_016 crossref_primary_10_1111_pce_15356 crossref_primary_10_1186_1471_2105_13_58 crossref_primary_10_3389_fonc_2021_672597 crossref_primary_10_1007_s00439_019_02083_9 crossref_primary_10_1038_ng_2468 crossref_primary_10_1128_genomeA_01310_14 crossref_primary_10_1038_mt_2015_223 crossref_primary_10_1186_1471_2164_15_175 crossref_primary_10_1016_j_cell_2012_06_023 crossref_primary_10_1016_j_pmpp_2024_102473 crossref_primary_10_1186_s12864_015_1233_x crossref_primary_10_1186_gb_2012_13_3_r22 crossref_primary_10_1016_j_ccell_2017_07_003 crossref_primary_10_1038_s41388_018_0644_y crossref_primary_10_1093_nar_gkac905 crossref_primary_10_1093_bioinformatics_bts380 crossref_primary_10_3389_fonc_2018_00183 crossref_primary_10_1093_nar_gkw026 crossref_primary_10_1155_2013_264532 crossref_primary_10_1093_nar_gky685 crossref_primary_10_1101_mcs_a001263 crossref_primary_10_1093_gigascience_giy081 crossref_primary_10_1080_03036758_2024_2394128 crossref_primary_10_1101_gr_276550_122 crossref_primary_10_1186_s12864_017_4137_0 crossref_primary_10_1038_nbt_3432 crossref_primary_10_1002_humu_24129 crossref_primary_10_3389_fbioe_2015_00028 crossref_primary_10_1186_s12864_021_08082_3 crossref_primary_10_1038_srep07649 crossref_primary_10_1093_bioinformatics_bts378 crossref_primary_10_1016_j_vaccine_2024_126404 crossref_primary_10_1038_jhg_2011_43 crossref_primary_10_1016_j_mrfmmm_2011_10_001 crossref_primary_10_3389_fgene_2020_00924 crossref_primary_10_1093_evlett_qrae019 crossref_primary_10_1038_nature11282 crossref_primary_10_1016_j_jbi_2019_103174 crossref_primary_10_1186_gb_2012_13_3_r18 crossref_primary_10_1038_sdata_2018_79 crossref_primary_10_1186_s12864_015_2361_z crossref_primary_10_1371_journal_pcbi_1004572 crossref_primary_10_3389_fmed_2022_905902 crossref_primary_10_1139_cjps_2020_0334 crossref_primary_10_1186_s13015_020_00170_5 crossref_primary_10_1093_bioinformatics_btu345 crossref_primary_10_2144_000114189 crossref_primary_10_1038_ncomms6135 crossref_primary_10_1111_febs_17409 crossref_primary_10_1002_ece3_10266 crossref_primary_10_1007_s11427_017_9076_4 crossref_primary_10_1186_1480_9222_15_4 crossref_primary_10_1534_g3_114_012997 crossref_primary_10_1093_bioinformatics_btt250 crossref_primary_10_1186_s12711_017_0352_z crossref_primary_10_1186_s13059_018_1539_5 crossref_primary_10_1371_journal_pgen_1007698 crossref_primary_10_3389_fpls_2021_668796 crossref_primary_10_1042_ETLS20190007 crossref_primary_10_1093_nar_gkw481 crossref_primary_10_1038_s41467_020_14981_y crossref_primary_10_1186_1471_2164_12_94 crossref_primary_10_1016_j_csbj_2025_02_040 crossref_primary_10_1101_gad_1864110 crossref_primary_10_1038_jhg_2011_62 crossref_primary_10_1534_genetics_115_177329 crossref_primary_10_18632_oncotarget_3491 crossref_primary_10_1186_s12920_020_00731_y crossref_primary_10_1186_1471_2229_14_7 crossref_primary_10_1038_s41436_018_0339_3 crossref_primary_10_1093_nar_gkw491 crossref_primary_10_1093_bioinformatics_btw516 crossref_primary_10_1101_gr_182212_114 |
| Cites_doi | 10.1073/pnas.1232418100 10.1038/nature06862 10.1016/j.tig.2007.12.007 10.1038/ng.93 10.1101/gr.088633.108 10.1073/pnas.0511340103 10.1126/science.1149504 10.1038/nmeth.1276 10.1126/science.319.5862.395 10.1101/gr.078212.108 10.1038/nature07517 10.1093/bioinformatics/btg1074 10.1038/nmeth.f.256 10.1038/nature05329 10.1016/j.ajhg.2007.09.014 10.1073/pnas.0307971100 10.1038/nrg1767 10.1038/ng1562 10.1101/gr.074492.107 10.1038/nrc2091 10.1038/ng1921 10.1038/ng.238 10.1038/nature07484 10.1038/nature06884 10.1371/journal.pbio.0050254 10.1038/nrc1299 10.1080/00031305.1948.10483405 10.1056/NEJMoa0903840 10.1038/nature07385 |
| ContentType | Journal Article |
| Copyright | Springer Nature America, Inc. 2009 COPYRIGHT 2009 Nature Publishing Group Copyright Nature Publishing Group Sep 2009 |
| Copyright_xml | – notice: Springer Nature America, Inc. 2009 – notice: COPYRIGHT 2009 Nature Publishing Group – notice: Copyright Nature Publishing Group Sep 2009 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7QL 7QO 7SS 7TK 7U9 7X2 7X7 7XB 88E 88I 8AO 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI BKSAR C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. L6V LK8 M0K M0S M1P M2P M7N M7P M7S P5Z P62 P64 PATMY PCBAR PDBOC PHGZM PHGZT PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS PTHSS PYCSY Q9U RC3 7X8 5PM |
| DOI | 10.1038/nmeth.1363 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Entomology Abstracts (Full archive) Neurosciences Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central Advanced Technologies & Computer Science Collection Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One ProQuest Materials Science Collection ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Materials Science Database ProQuest Engineering Collection ProQuest Biological Science Collection Agricultural Science Database Health & Medical Collection (Alumni) Medical Database Science Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Earth, Atmospheric & Aquatic Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection Environmental Science Collection ProQuest Central Basic Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials SciTech Premium Collection ProQuest Central China Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central Earth, Atmospheric & Aquatic Science Collection ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Materials Science & Engineering Collection ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Agricultural Science Database MEDLINE |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1548-7105 |
| EndPage | 681 |
| ExternalDocumentID | PMC3661775 1849133391 A207705572 19668202 10_1038_nmeth_1363 |
| Genre | Journal Article Research Support, N.I.H., Extramural |
| GeographicLocations | United States |
| GeographicLocations_xml | – name: United States |
| GrantInformation_xml | – fundername: Wellcome Trust – fundername: NHGRI NIH HHS grantid: U54 HG003079 – fundername: NCI NIH HHS grantid: P01 CA101937 – fundername: NHGRI NIH HHS grantid: HG003079 |
| GroupedDBID | --- -~X 0R~ 123 29M 39C 3V. 4.4 53G 5BI 7X2 7X7 7XC 88E 88I 8AO 8CJ 8FE 8FG 8FH 8FI 8FJ 8R4 8R5 AAEEF AAHBH AARCD AAYZH AAZLF ABAWZ ABDBF ABJCF ABJNI ABLJU ABUWG ACBWK ACGFS ACGOD ACIWK ACPRK ACUHS ADBBV AENEX AEUYN AFANA AFBBN AFKRA AFRAH AFSHS AGAYW AHBCP AHMBA AHSBF AIBTJ ALFFA ALIPV ALMA_UNASSIGNED_HOLDINGS ARAPS ARMCB ASPBG ATCPS AVWKF AXYYD AZFZN AZQEC BBNVY BENPR BGLVJ BHPHI BKKNO BKSAR BPHCQ BVXVI CCPQU CS3 D1I D1J D1K DB5 DU5 DWQXO EBS EE. EJD EMOBN ESX F5P FEDTE FSGXE FYUFA FZEXT GNUQQ HCIFZ HMCUK HVGLF HZ~ IAO IHR INH INR ITC K6- KB. L6V LK5 LK8 M0K M1P M2P M7P M7R M7S NNMJJ O9- ODYON P2P P62 PATMY PCBAR PDBOC PQQKQ PROAC PSQYO PTHSS PYCSY Q2X RNS RNT RNTTT SHXYY SIXXV SJN SNYQT SOJ SV3 TAOOD TBHMF TDRGL TSG TUS UKHRP ~8M AAYXX ATHPR CITATION PHGZM PHGZT PJZUB PPXIY PQGLB PUEGO CGR CUY CVF ECM EIF NFIDA NPM 7QL 7QO 7SS 7TK 7U9 7XB 8FD 8FK C1K FR3 H94 K9. M7N P64 PKEHL PQEST PQUKI PRINS Q9U RC3 7X8 5PM |
| ID | FETCH-LOGICAL-c536t-73021dc7827b6ac012eac514c8051a54a898eaef72d3aa330c4bc1c151a1419b3 |
| IEDL.DBID | BENPR |
| ISSN | 1548-7091 |
| IngestDate | Tue Sep 30 16:31:38 EDT 2025 Thu Oct 02 12:18:07 EDT 2025 Mon Oct 06 16:56:18 EDT 2025 Mon Oct 20 23:01:06 EDT 2025 Mon Oct 20 17:03:45 EDT 2025 Thu Apr 03 06:58:49 EDT 2025 Thu Apr 24 23:08:46 EDT 2025 Wed Oct 01 02:15:57 EDT 2025 Fri Feb 21 02:37:48 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| License | http://www.springer.com/tdm Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c536t-73021dc7827b6ac012eac514c8051a54a898eaef72d3aa330c4bc1c151a1419b3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://pubmed.ncbi.nlm.nih.gov/PMC3661775 |
| PMID | 19668202 |
| PQID | 223251795 |
| PQPubID | 28015 |
| PageCount | 5 |
| ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_3661775 proquest_miscellaneous_67621556 proquest_journals_223251795 gale_infotracmisc_A207705572 gale_infotracacademiconefile_A207705572 pubmed_primary_19668202 crossref_primary_10_1038_nmeth_1363 crossref_citationtrail_10_1038_nmeth_1363 springer_journals_10_1038_nmeth_1363 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2009-09-01 |
| PublicationDateYYYYMMDD | 2009-09-01 |
| PublicationDate_xml | – month: 09 year: 2009 text: 2009-09-01 day: 01 |
| PublicationDecade | 2000 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York – name: United States |
| PublicationSubtitle | Techniques for life scientists and chemists |
| PublicationTitle | Nature methods |
| PublicationTitleAbbrev | Nat Methods |
| PublicationTitleAlternate | Nat Methods |
| PublicationYear | 2009 |
| Publisher | Nature Publishing Group US Nature Publishing Group |
| Publisher_xml | – name: Nature Publishing Group US – name: Nature Publishing Group |
| References | Kaiser (CR18) 2008; 319 Kidd (CR21) 2008; 453 Wang (CR15) 2008; 456 CR19 Zerbino, Birney (CR31) 2008; 18 McCarroll (CR28) 2008; 40 Khaja (CR10) 2006; 38 Hormozdiari, Alkan, Eichler, Sahinalp (CR24) 2009; 19 Levy (CR11) 2007; 5 Mardis (CR13) 2008; 24 Li, Ruan, Durbin (CR20) 2008; 18 Feuk, Carson, Scherer (CR1) 2006; 7 Raphael, Volik, Collins, Pevzner (CR17) 2003; 19 Wheeler (CR12) 2008; 452 Korbel (CR22) 2007; 318 Stuart, Ord, Arnold (CR26) 1999 Sharp (CR3) 2008; 40 Bentley (CR14) 2008; 456 CR5 Urban (CR7) 2006; 103 Lee, Hormozdiari, Alkan, Brudno (CR25) 2009; 6 CR27 Redon (CR8) 2006; 444 Fisher (CR30) 1948; 2 Ben-Shachar (CR2) 2008; 82 Volik (CR16) 2003; 100 Futreal (CR4) 2004; 4 Istrail (CR9) 2004; 101 Chiang (CR29) 2009; 6 Mitelman, Johansson, Mertens (CR6) 2007; 7 Tuzun (CR23) 2005; 37 SA McCarroll (BFnmeth1363_CR28) 2008; 40 RA Fisher (BFnmeth1363_CR30) 1948; 2 AJ Sharp (BFnmeth1363_CR3) 2008; 40 S Ben-Shachar (BFnmeth1363_CR2) 2008; 82 DA Wheeler (BFnmeth1363_CR12) 2008; 452 DR Zerbino (BFnmeth1363_CR31) 2008; 18 ER Mardis (BFnmeth1363_CR13) 2008; 24 R Redon (BFnmeth1363_CR8) 2006; 444 R Khaja (BFnmeth1363_CR10) 2006; 38 BJ Raphael (BFnmeth1363_CR17) 2003; 19 S Levy (BFnmeth1363_CR11) 2007; 5 JM Kidd (BFnmeth1363_CR21) 2008; 453 J Wang (BFnmeth1363_CR15) 2008; 456 S Istrail (BFnmeth1363_CR9) 2004; 101 S Lee (BFnmeth1363_CR25) 2009; 6 BFnmeth1363_CR19 JO Korbel (BFnmeth1363_CR22) 2007; 318 F Hormozdiari (BFnmeth1363_CR24) 2009; 19 J Kaiser (BFnmeth1363_CR18) 2008; 319 H Li (BFnmeth1363_CR20) 2008; 18 E Tuzun (BFnmeth1363_CR23) 2005; 37 L Feuk (BFnmeth1363_CR1) 2006; 7 DR Bentley (BFnmeth1363_CR14) 2008; 456 AE Urban (BFnmeth1363_CR7) 2006; 103 PA Futreal (BFnmeth1363_CR4) 2004; 4 F Mitelman (BFnmeth1363_CR6) 2007; 7 BFnmeth1363_CR5 S Volik (BFnmeth1363_CR16) 2003; 100 DY Chiang (BFnmeth1363_CR29) 2009; 6 A Stuart (BFnmeth1363_CR26) 1999 BFnmeth1363_CR27 |
| References_xml | – volume: 100 start-page: 7696 year: 2003 end-page: 7701 ident: CR16 article-title: End-sequence profiling: sequence-based analysis of aberrant genomes publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1232418100 – volume: 2 start-page: 30 year: 1948 ident: CR30 article-title: Combining independent tests of significance publication-title: Am. Stat. – volume: 453 start-page: 56 year: 2008 end-page: 64 ident: CR21 article-title: Mapping and sequencing of structural variation from eight human genomes publication-title: Nature doi: 10.1038/nature06862 – volume: 24 start-page: 133 year: 2008 end-page: 141 ident: CR13 article-title: The impact of next-generation sequencing technology on genetics publication-title: Trends Genet. doi: 10.1016/j.tig.2007.12.007 – volume: 40 start-page: 322 year: 2008 end-page: 328 ident: CR3 article-title: A recurrent 15q13.3 microdeletion syndrome associated with mental retardation and seizures publication-title: Nat. Genet. doi: 10.1038/ng.93 – start-page: 25.37 year: 1999 end-page: 25.43 ident: CR26 article-title: Tests of fit publication-title: Kendall's Advanced Theory of Statistics – volume: 19 start-page: 1270 year: 2009 end-page: 1278 ident: CR24 article-title: Combinatorial algorithms for structural variation detection in high-throughput sequenced genomes publication-title: Genome Res. doi: 10.1101/gr.088633.108 – volume: 103 start-page: 4534 year: 2006 end-page: 4539 ident: CR7 article-title: High-resolution mapping of DNA copy alterations in human chromosome 22 using high-density tiling oligonucleotide arrays publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0511340103 – volume: 318 start-page: 420 year: 2007 end-page: 426 ident: CR22 article-title: Paired-end mapping reveals extensive structural variation in the human genome publication-title: Science doi: 10.1126/science.1149504 – volume: 6 start-page: 99 year: 2009 end-page: 103 ident: CR29 article-title: High-resolution mapping of copy-number alterations with massively parallel sequencing publication-title: Nat. Methods doi: 10.1038/nmeth.1276 – volume: 319 start-page: 395 year: 2008 ident: CR18 article-title: DNA sequencing. A plan to capture human diversity in 1000 genomes publication-title: Science doi: 10.1126/science.319.5862.395 – volume: 18 start-page: 1851 year: 2008 end-page: 1858 ident: CR20 article-title: Mapping short DNA sequencing reads and calling variants using mapping quality scores publication-title: Genome Res. doi: 10.1101/gr.078212.108 – volume: 456 start-page: 53 year: 2008 end-page: 59 ident: CR14 article-title: Accurate whole human genome sequencing using reversible terminator chemistry publication-title: Nature doi: 10.1038/nature07517 – ident: CR27 – volume: 19 start-page: ii162 issue: Suppl 2 year: 2003 end-page: ii171 ident: CR17 article-title: Reconstructing tumor genome architectures publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg1074 – volume: 6 start-page: 473 year: 2009 end-page: 474 ident: CR25 article-title: MoDIL: detecting small indels from clone-end sequencing with mixtures of distributions publication-title: Nat. Methods doi: 10.1038/nmeth.f.256 – volume: 444 start-page: 444 year: 2006 end-page: 454 ident: CR8 article-title: Global variation in copy number in the human genome publication-title: Nature doi: 10.1038/nature05329 – volume: 82 start-page: 214 year: 2008 end-page: 221 ident: CR2 article-title: 22q11.2 distal deletion: a recurrent genomic disorder distinct from DiGeorge syndrome and velocardiofacial syndrome publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2007.09.014 – volume: 101 start-page: 1916 year: 2004 end-page: 1921 ident: CR9 article-title: Whole-genome shotgun assembly and comparison of human genome assemblies publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0307971100 – ident: CR19 – volume: 7 start-page: 85 year: 2006 end-page: 97 ident: CR1 article-title: Structural variation in the human genome publication-title: Nat. Rev. Genet. doi: 10.1038/nrg1767 – volume: 37 start-page: 727 year: 2005 end-page: 732 ident: CR23 article-title: Fine-scale structural variation of the human genome publication-title: Nat. Genet. doi: 10.1038/ng1562 – volume: 18 start-page: 821 year: 2008 end-page: 829 ident: CR31 article-title: Velvet: algorithms for de novo short read assembly using de Bruijn graphs publication-title: Genome Res. doi: 10.1101/gr.074492.107 – volume: 7 start-page: 233 year: 2007 end-page: 245 ident: CR6 article-title: The impact of translocations and gene fusions on cancer causation publication-title: Nat. Rev. Cancer doi: 10.1038/nrc2091 – volume: 38 start-page: 1413 year: 2006 end-page: 1418 ident: CR10 article-title: Genome assembly comparison identifies structural variants in the human genome publication-title: Nat. Genet. doi: 10.1038/ng1921 – volume: 40 start-page: 1166 year: 2008 end-page: 1174 ident: CR28 article-title: Integrated detection and population-genetic analysis of SNPs and copy number variation publication-title: Nat. Genet. doi: 10.1038/ng.238 – volume: 456 start-page: 60 year: 2008 end-page: 65 ident: CR15 article-title: The diploid genome sequence of an Asian individual publication-title: Nature doi: 10.1038/nature07484 – ident: CR5 – volume: 452 start-page: 872 year: 2008 end-page: 876 ident: CR12 article-title: The complete genome of an individual by massively parallel DNA sequencing publication-title: Nature doi: 10.1038/nature06884 – volume: 5 start-page: e254 year: 2007 ident: CR11 article-title: The diploid genome sequence of an individual human publication-title: PLoS Biol. doi: 10.1371/journal.pbio.0050254 – volume: 4 start-page: 177 year: 2004 end-page: 183 ident: CR4 article-title: A census of human cancer genes publication-title: Nat. Rev. Cancer doi: 10.1038/nrc1299 – volume: 19 start-page: 1270 year: 2009 ident: BFnmeth1363_CR24 publication-title: Genome Res. doi: 10.1101/gr.088633.108 – volume: 4 start-page: 177 year: 2004 ident: BFnmeth1363_CR4 publication-title: Nat. Rev. Cancer doi: 10.1038/nrc1299 – start-page: 25.37 volume-title: Kendall's Advanced Theory of Statistics year: 1999 ident: BFnmeth1363_CR26 – volume: 6 start-page: 99 year: 2009 ident: BFnmeth1363_CR29 publication-title: Nat. Methods doi: 10.1038/nmeth.1276 – volume: 82 start-page: 214 year: 2008 ident: BFnmeth1363_CR2 publication-title: Am. J. Hum. Genet. doi: 10.1016/j.ajhg.2007.09.014 – volume: 19 start-page: ii162 issue: Suppl 2 year: 2003 ident: BFnmeth1363_CR17 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btg1074 – volume: 2 start-page: 30 year: 1948 ident: BFnmeth1363_CR30 publication-title: Am. Stat. doi: 10.1080/00031305.1948.10483405 – volume: 456 start-page: 53 year: 2008 ident: BFnmeth1363_CR14 publication-title: Nature doi: 10.1038/nature07517 – volume: 319 start-page: 395 year: 2008 ident: BFnmeth1363_CR18 publication-title: Science doi: 10.1126/science.319.5862.395 – volume: 6 start-page: 473 year: 2009 ident: BFnmeth1363_CR25 publication-title: Nat. Methods doi: 10.1038/nmeth.f.256 – volume: 103 start-page: 4534 year: 2006 ident: BFnmeth1363_CR7 publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0511340103 – ident: BFnmeth1363_CR19 doi: 10.1056/NEJMoa0903840 – volume: 453 start-page: 56 year: 2008 ident: BFnmeth1363_CR21 publication-title: Nature doi: 10.1038/nature06862 – volume: 100 start-page: 7696 year: 2003 ident: BFnmeth1363_CR16 publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1232418100 – volume: 7 start-page: 85 year: 2006 ident: BFnmeth1363_CR1 publication-title: Nat. Rev. Genet. doi: 10.1038/nrg1767 – volume: 5 start-page: e254 year: 2007 ident: BFnmeth1363_CR11 publication-title: PLoS Biol. doi: 10.1371/journal.pbio.0050254 – volume: 38 start-page: 1413 year: 2006 ident: BFnmeth1363_CR10 publication-title: Nat. Genet. doi: 10.1038/ng1921 – volume: 318 start-page: 420 year: 2007 ident: BFnmeth1363_CR22 publication-title: Science doi: 10.1126/science.1149504 – volume: 18 start-page: 821 year: 2008 ident: BFnmeth1363_CR31 publication-title: Genome Res. doi: 10.1101/gr.074492.107 – volume: 40 start-page: 1166 year: 2008 ident: BFnmeth1363_CR28 publication-title: Nat. Genet. doi: 10.1038/ng.238 – volume: 444 start-page: 444 year: 2006 ident: BFnmeth1363_CR8 publication-title: Nature doi: 10.1038/nature05329 – volume: 40 start-page: 322 year: 2008 ident: BFnmeth1363_CR3 publication-title: Nat. Genet. doi: 10.1038/ng.93 – ident: BFnmeth1363_CR5 doi: 10.1038/nature07385 – volume: 18 start-page: 1851 year: 2008 ident: BFnmeth1363_CR20 publication-title: Genome Res. doi: 10.1101/gr.078212.108 – volume: 7 start-page: 233 year: 2007 ident: BFnmeth1363_CR6 publication-title: Nat. Rev. Cancer doi: 10.1038/nrc2091 – volume: 24 start-page: 133 year: 2008 ident: BFnmeth1363_CR13 publication-title: Trends Genet. doi: 10.1016/j.tig.2007.12.007 – ident: BFnmeth1363_CR27 – volume: 37 start-page: 727 year: 2005 ident: BFnmeth1363_CR23 publication-title: Nat. Genet. doi: 10.1038/ng1562 – volume: 101 start-page: 1916 year: 2004 ident: BFnmeth1363_CR9 publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0307971100 – volume: 452 start-page: 872 year: 2008 ident: BFnmeth1363_CR12 publication-title: Nature doi: 10.1038/nature06884 – volume: 456 start-page: 60 year: 2008 ident: BFnmeth1363_CR15 publication-title: Nature doi: 10.1038/nature07484 |
| SSID | ssj0033425 |
| Score | 2.5548084 |
| Snippet | This software package provides genome-wide detection of structural variants (insertions, deletions, inversions and inter- and intrachromosomal translocations)... Detection and characterization of genomic structural variation are important for understanding the landscape of genetic variation in human populations and in... |
| SourceID | pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 677 |
| SubjectTerms | Algorithms Base Sequence Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedical research Computer Simulation Data analysis DNA - genetics Genetic algorithms Genetic diversity Genetic Variation Genome, Human Genomics Genomics - methods Human populations Humans Leukemia Leukemia, Myeloid, Acute - genetics Life Sciences Nucleotide sequence Proteomics Research methodology Sequence Analysis, DNA - methods Single nucleotide polymorphisms |
| Title | BreakDancer: an algorithm for high-resolution mapping of genomic structural variation |
| URI | https://link.springer.com/article/10.1038/nmeth.1363 https://www.ncbi.nlm.nih.gov/pubmed/19668202 https://www.proquest.com/docview/223251795 https://www.proquest.com/docview/67621556 https://pubmed.ncbi.nlm.nih.gov/PMC3661775 |
| Volume | 6 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1548-7105 dateEnd: 20151130 omitProxy: true ssIdentifier: ssj0033425 issn: 1548-7091 databaseCode: ABDBF dateStart: 20041001 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1548-7105 dateEnd: 20171231 omitProxy: true ssIdentifier: ssj0033425 issn: 1548-7091 databaseCode: 7X7 dateStart: 20041001 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1548-7105 dateEnd: 20171231 omitProxy: true ssIdentifier: ssj0033425 issn: 1548-7091 databaseCode: BENPR dateStart: 20041001 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1548-7105 dateEnd: 20241105 omitProxy: true ssIdentifier: ssj0033425 issn: 1548-7091 databaseCode: 8FG dateStart: 20041001 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1bS-QwFD7oyMK-iLdd6zWgIPsQ7DRtkxFEVJyVBUVkB-YtpGmrotPxMgr-e89J29GO4ktfkmkzObcvPaffAdiOU7-jMHBxxOI-D3OfXjSJgGcdP8qjMLGBpYzu2Xl82gv_9aP-FJzV38JQWWXtE52jToeW3pHvYhhz7FrRwf0Dp6ZRlFytO2iYqrNCuu8YxqZhJiBirBbMHJ2cX1zWrlmI0HVhJZjOJUbKmq9UqN2COjZT0ZdoRKhJP_0hUE0WUU5kUl2A6s7BbIUs2WGpCvMwlRUL8KPsNfm6CL0jhIe3TsiPe8wUzNxd4R8cXQ8Y4lZGtMUcj96VJrKBIeKGKzbMGdG4Dm4sK6lmiaaDveAJ24l0CXrdk__Hp7zqqcBtJOIRR4MO2qlFXCCT2FgMT-h5ETRZhdZpotCojspMlssgFcYI4VuUV9siLjDtsN1JxC9oFcMiWwZGJzNFdG2xykOR50lqEE8hpMllmgVh6sGfeh-1rQjHqe_FnXaJb6G023NNe-7B1njufUmz8eWsHRKHJtvDO1lTfUKA6yEWK30Y-JLYgWTgwVpjJtqMbQyv1gLVlc0-6bGGebA5HqUfUhlakQ2fn3SMoQM1LPbgdyn898XisRHBFN5ZNtRiPIFovJsjxc21o_MWCJGkxKdu1wr0vqbPe7Dy7dJX4WeZ7qIiuDVooWJk64iaRskGTMu-xKvq_t2o7OINgxQZ3g |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1dTxQxFL1BiNEX47cDKE3EGB8mzLadLxNiQCGLwMYYNuGtdjodILCz6K4afpz_zXs7ncVZjW88t9Pp3J723DttzwVYT8ooz5C4QvTFo1BWEf1oEjy0eRRXsSwMN7SjezhI-kP58Tg-XoBf7V0YOlbZroluoS7Hhv6RbyCNOXWt-N3l15CSRtHmaptBQ_vMCuWmUxjz9zr27dVPjOAmm3sfcLhfcb67c_S-H_okA6GJRTINEeG8VxokyrRItMH1Gpci9CJMhnDVsdRZnlltq5SXQmuM_g1-QM8gUeqe7OWFwHZvwZIUMsfYb2l7Z_Dpc0sFQkiX9ZXCgjBFZm71UUW2UVOGaDpkJjqMOM8LfxDj_KHNuZ1bR4i79-Ge92TZVgO9B7Bg64dwu8ltefUIhtvojp47UH17y3TN9MUJGnR6OmLoJzOSSQ4x1PfIZyNNQhEnbFwxko0dnRnWSNuSLAj7gRG9g9BjGN6IeZ_AYj2u7TNgFAlmJA-XZJUUVVWUGv03dKGqtLRclgG8ae2ojBc4pzwbF8pttItMOZsrsnkAL2d1LxtZj3_Wek3DoWiuY0tG-ysL2B9SzVJbPEpJjSjlAax2auIcNZ3ilXZAlV8jJmqG6ADWZqX0IB17q-34-0QlSFWI6CSAp83gX3cWw1R03rDltAOLWQWSDe-W1GenTj5coEuWpvjW9RZA13362wbL_-36GtzpHx0eqIO9wf4K3G222ugA3iosIkjsc_TYpsULPy8YfLnpqfgbZX5Ucw |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9QwEB2VIhCXim_SFmqJIsTB2qydxAkSQoWyailUHFhpb67jOG1FN1vYBdSfxr9jxvkoWRC3nu041vjZ8yaevAHYToowS9FxceTiIY_KkD40ScFdFsZlHOVWWLrR_XiY7I2j95N4sgK_2n9hKK2yPRP9QV3MLH0jH6Ab8-pa8aBssiI-7Y5en3_lVECKLlrbaho1Qg7cxU-M3uav9ndxqZ8JMXr3-e0ebwoMcBvLZMER3WJYWHSSKk-MxbMajyFkEDZFqJo4MmmWOuNKJQppDEb-Fic_tOgkzTAaZrnEca_BdSVlRtmEatLFelJGvt4rBQRcoU9ulVFlOqioNjSll8meL1z2CH-4xOV0zaU7W-8KR7dhreGwbKcG3R1YcdVduFFXtby4B-M3SES_eDh9e8lMxczZMZpvcTJlyJAZCSRzDPIbzLOpIYmIYzYrGQnGTk8tq0VtSRCE_cBY3oPnPoyvxLgPYLWaVe4RMIoBUxKGS9IykmWZFwaZG5KnUhVOREUAL1o7attIm1OFjTPtr9hlqr3NNdk8gKdd3_Na0OOfvZ7Tcmja5TiSNc3PCjgf0svSOyJUpEOkRACbvZ64O22veaNdUN2cDnPdYTmAra6VHqSEt8rNvs91gk4KqV4SwMN68S8niwEq0jYcWfVg0XUgwfB-S3V64oXDJZIxpfCt2y2ALuf0tw3W_zv1LbiJG1B_2D882IBb9R0bZd5twipixD1GqrbIn_hNweDoqnfhbx01Ug0 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=BreakDancer%3A+an+algorithm+for+high-resolution+mapping+of+genomic+structural+variation&rft.jtitle=Nature+methods&rft.au=Chen%2C+Ken&rft.au=Wallis%2C+John+W&rft.au=McLellan%2C+Michael+D&rft.au=Larson%2C+David+E&rft.date=2009-09-01&rft.pub=Nature+Publishing+Group&rft.issn=1548-7091&rft.volume=6&rft.issue=9&rft.spage=677&rft_id=info:doi/10.1038%2Fnmeth.1363&rft.externalDocID=A207705572 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1548-7091&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1548-7091&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1548-7091&client=summon |