FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows
An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increa...
Saved in:
| Published in | Frontiers in immunology Vol. 12; p. 768541 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
05.11.2021
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1664-3224 1664-3224 |
| DOI | 10.3389/fimmu.2021.768541 |
Cover
| Abstract | An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts. |
|---|---|
| AbstractList | An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts. An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts.An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts. |
| Author | Enzor, Jennifer Mosier, Sarah M. Ferrari, Guido Weinhold, Kent J. Denny, Thomas N. Almarode, James Quinn, John Staats, Janet Chan, Cliburn White, Scott |
| AuthorAffiliation | 6 Department of Surgery, Duke University Medical Center , Durham, NC , United States 5 Duke Immune Profiling Core, Duke University School of Medicine , Durham, NC , United States 1 Duke Center for AIDS Research, Duke University , Durham, NC , United States 2 Department of Biostatistics and Bioinformatics, Duke University Medical Center , Durham, NC , United States 3 Center for Human Systems Immunology, Duke University Medical Center , Durham, NC , United States 4 BD Life Sciences - FlowJo , Ashland, OR , United States 7 Duke Human Vaccine Institute , Durham, NC , United States |
| AuthorAffiliation_xml | – name: 3 Center for Human Systems Immunology, Duke University Medical Center , Durham, NC , United States – name: 4 BD Life Sciences - FlowJo , Ashland, OR , United States – name: 6 Department of Surgery, Duke University Medical Center , Durham, NC , United States – name: 5 Duke Immune Profiling Core, Duke University School of Medicine , Durham, NC , United States – name: 1 Duke Center for AIDS Research, Duke University , Durham, NC , United States – name: 2 Department of Biostatistics and Bioinformatics, Duke University Medical Center , Durham, NC , United States – name: 7 Duke Human Vaccine Institute , Durham, NC , United States |
| Author_xml | – sequence: 1 givenname: Scott surname: White fullname: White, Scott – sequence: 2 givenname: John surname: Quinn fullname: Quinn, John – sequence: 3 givenname: Jennifer surname: Enzor fullname: Enzor, Jennifer – sequence: 4 givenname: Janet surname: Staats fullname: Staats, Janet – sequence: 5 givenname: Sarah M. surname: Mosier fullname: Mosier, Sarah M. – sequence: 6 givenname: James surname: Almarode fullname: Almarode, James – sequence: 7 givenname: Thomas N. surname: Denny fullname: Denny, Thomas N. – sequence: 8 givenname: Kent J. surname: Weinhold fullname: Weinhold, Kent J. – sequence: 9 givenname: Guido surname: Ferrari fullname: Ferrari, Guido – sequence: 10 givenname: Cliburn surname: Chan fullname: Chan, Cliburn |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34804056$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFUUtv1DAQjlARLaU_gAvykcsufsVJOCCtVhRWFMGhCImLNXacrVvHXmyHKv-e7KZULQfwxaPx95j5_Lw48sGbonhJ8JKxunnT2b4flhRTsqxEXXLypDghQvAFo5QfPaiPi7OUrvF0eMMYK58Vx4zXmONSnBQ_zl24_WTzW7RCX8d8FTy6DMHd2Iy6ENHGZ7ONkE2LPoMfwCHwLVoNOfSH5nqcKpPjiFYe3JhsQt9DvOkm0fSieNqBS-bs7j4tvp2_v1x_XFx8-bBZry4WmosyLzpTiRY06ToiADgvqaDATKO00qRWYCpWMTCq4R0BpXjLNTemVE2Liao5Z6fFZtZtA1zLXbQ9xFEGsPLQCHErIWarnZGEVA0GzLTQmne1blRNCWOKg24qXNFJi85ag9_BeAvO3QsSLPe5y0Pucp-7nHOfSO9m0m5QvWm18TmCezTJ4xdvr-Q2_JK1wLTBe9fXdwIx_BxMyrK3SRvnwJswJEkFxjWdctlDXz30ujf586MToJoBOoaUoumkthmyDXtr6_65BvmL-f_VfwNO8Mmv |
| CitedBy_id | crossref_primary_10_1038_s41586_024_07707_3 crossref_primary_10_1016_j_jbc_2024_107163 crossref_primary_10_1093_bioadv_vbad103 crossref_primary_10_1126_sciadv_adj4370 crossref_primary_10_1182_bloodadvances_2023012118 crossref_primary_10_1080_21645515_2023_2234792 crossref_primary_10_3389_fenvc_2022_931067 crossref_primary_10_3390_cancers17030483 crossref_primary_10_1016_j_ccell_2024_04_008 crossref_primary_10_1016_j_celrep_2023_113250 crossref_primary_10_1002_advs_202207061 crossref_primary_10_3390_cells13221858 crossref_primary_10_1038_s41526_024_00423_2 crossref_primary_10_1016_j_modpat_2023_100373 |
| Cites_doi | 10.1088/1742-5468/2008/10/P10008 10.1371/journal.pcbi.1009071 10.1038/sdata.2018.15 10.1038/s41592-018-0308-4 10.1002/cyto.a.22690 10.1038/s41598-019-41695-z 10.1186/s13059-017-1382-0 10.1016/j.jim.2014.05.021 10.1021/acssynbio.5b00284 10.1186/1471-2105-10-106 10.1007/s12026-014-8516-1 10.1038/nbt.4314 |
| ContentType | Journal Article |
| Copyright | Copyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan. Copyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan |
| Copyright_xml | – notice: Copyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan. – notice: Copyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM ADTOC UNPAY DOA |
| DOI | 10.3389/fimmu.2021.768541 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | CrossRef MEDLINE - Academic MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 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: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1664-3224 |
| ExternalDocumentID | oai_doaj_org_article_11790a03c6cc4f8c9b82133b4ac97072 10.3389/fimmu.2021.768541 PMC8602902 34804056 10_3389_fimmu_2021_768541 |
| Genre | Journal Article Research Support, N.I.H., Extramural |
| GrantInformation_xml | – fundername: NIAID NIH HHS grantid: HHSN272201700061C – fundername: NIAID NIH HHS grantid: P30 AI064518 |
| GroupedDBID | 53G 5VS 9T4 AAFWJ AAKDD AAYXX ACGFO ACGFS ADBBV ADRAZ AENEX AFPKN ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV CITATION DIK EBS EMOBN GROUPED_DOAJ GX1 HYE KQ8 M48 M~E OK1 PGMZT RNS RPM ACXDI CGR CUY CVF ECM EIF IAO IEA IHR IHW IPNFZ NPM RIG 7X8 5PM ADTOC UNPAY |
| ID | FETCH-LOGICAL-c465t-fe76dac1ff16aa445262a3e9bcbc18bae7373aeb94f1abb4d4c4ee5b9d01b8443 |
| IEDL.DBID | M48 |
| ISSN | 1664-3224 |
| IngestDate | Fri Oct 03 12:46:28 EDT 2025 Sun Oct 26 04:10:21 EDT 2025 Thu Aug 21 18:04:52 EDT 2025 Thu Oct 02 10:58:52 EDT 2025 Thu Jan 02 22:55:29 EST 2025 Wed Oct 01 01:37:06 EDT 2025 Thu Apr 24 23:05:32 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | software python (programming language) single cell data science FlowJo GatingML flow cytometry systems immunology |
| Language | English |
| License | Copyright © 2021 White, Quinn, Enzor, Staats, Mosier, Almarode, Denny, Weinhold, Ferrari and Chan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c465t-fe76dac1ff16aa445262a3e9bcbc18bae7373aeb94f1abb4d4c4ee5b9d01b8443 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Thomas Myles Ashhurst, The University of Sydney, Australia; Gur Yaari, Bar-Ilan University, Israel This article was submitted to Systems Immunology, a section of the journal Frontiers in Immunology Edited by: Juan J. Garcia-Vallejo, Amsterdam University Medical Center, Netherlands |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.3389/fimmu.2021.768541 |
| PMID | 34804056 |
| PQID | 2600822622 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_11790a03c6cc4f8c9b82133b4ac97072 unpaywall_primary_10_3389_fimmu_2021_768541 pubmedcentral_primary_oai_pubmedcentral_nih_gov_8602902 proquest_miscellaneous_2600822622 pubmed_primary_34804056 crossref_citationtrail_10_3389_fimmu_2021_768541 crossref_primary_10_3389_fimmu_2021_768541 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-11-05 |
| PublicationDateYYYYMMDD | 2021-11-05 |
| PublicationDate_xml | – month: 11 year: 2021 text: 2021-11-05 day: 05 |
| PublicationDecade | 2020 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland |
| PublicationTitle | Frontiers in immunology |
| PublicationTitleAlternate | Front Immunol |
| PublicationYear | 2021 |
| Publisher | Frontiers Media S.A |
| Publisher_xml | – name: Frontiers Media S.A |
| References | Linderman (B5) 2019; 16 Blondel (B9) 2008; 2008 B12 Castillo-Hair (B14) 2016; 5 B15 Wang (B7) 2020; 22 Traag (B8) 2019; 9 Finak (B4) 2021 Spidlen (B1) 2015; 87 Becht (B6) 2018; 37 Bhattacharya (B11) 2014; 58 Staats (B2) 2014; 409 Wolf (B16) 2018; 19 Bhattacharya (B10) 2018; 5 Hahne (B3) 2009; 10 Burton (B13) 2021; 17 |
| References_xml | – volume: 2008 start-page: P10008 year: 2008 ident: B9 article-title: Fast Unfolding of Communities in Large Networks publication-title: J Stat Mech: Theory Experiment doi: 10.1088/1742-5468/2008/10/P10008 – ident: B12 – volume: 17 start-page: e1009071 year: 2021 ident: B13 article-title: CytoPy: An Autonomous Cytometry Analysis Framework publication-title: PloS Comput Biol doi: 10.1371/journal.pcbi.1009071 – volume: 5 start-page: 180015 year: 2018 ident: B10 article-title: ImmPort, Toward Repurposing of Open Access Immunological Assay Data for Translational and Clinical Research publication-title: Sci Data doi: 10.1038/sdata.2018.15 – volume: 16 year: 2019 ident: B5 article-title: Fast Interpolation-Based T-SNE for Improved Visualization of Single-Cell RNA-Seq Data publication-title: Nat Methods doi: 10.1038/s41592-018-0308-4 – volume: 87 year: 2015 ident: B1 article-title: Isac’s Gating-ML 2.0 Data Exchange Standard for Gating Description publication-title: Cytometry A doi: 10.1002/cyto.a.22690 – volume: 9 start-page: 1 year: 2019 ident: B8 article-title: From Louvain to Leiden: Guaranteeing Well-Connected Communities publication-title: Sci Rep doi: 10.1038/s41598-019-41695-z – volume: 19 start-page: 15 year: 2018 ident: B16 article-title: SCANPY: Large-Scale Single-Cell Gene Expression Data Analysis publication-title: Genome Biol doi: 10.1186/s13059-017-1382-0 – volume-title: R Package Version 4.4.0 year: 2021 ident: B4 article-title: Flowworkspace: Infrastructure for Representing and Interacting With Gated and Ungated Cytometry Data Sets – volume: 409 start-page: 44 year: 2014 ident: B2 article-title: Toward Development of a Comprehensive External Quality Assurance Program for Polyfunctional Intracellular Cytokine Staining Assays publication-title: J Immunol Methods doi: 10.1016/j.jim.2014.05.021 – volume: 5 year: 2016 ident: B14 article-title: FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data From Arbitrary to Calibrated Units publication-title: ACS Synth Biol doi: 10.1021/acssynbio.5b00284 – volume: 10 start-page: 106 year: 2009 ident: B3 article-title: Flowcore: A Bioconductor Package for High Throughput Flow Cytometry publication-title: BMC Bioinf doi: 10.1186/1471-2105-10-106 – volume: 22 start-page: 1 year: 2020 ident: B7 article-title: Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering T-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization publication-title: ArXiv Preprint ArXiv:201204456 – volume: 58 year: 2014 ident: B11 article-title: ImmPort: Disseminating Data to the Public for the Future of Immunology publication-title: Immunol Res doi: 10.1007/s12026-014-8516-1 – volume: 37 start-page: 38 year: 2018 ident: B6 article-title: Dimensionality Reduction for Visualizing Single-Cell Data Using UMAP publication-title: Nat Biotechnol doi: 10.1038/nbt.4314 – ident: B15 |
| SSID | ssj0000493335 |
| Score | 2.398535 |
| Snippet | An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative... |
| SourceID | doaj unpaywall pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 768541 |
| SubjectTerms | Algorithms Computational Biology flow cytometry Flow Cytometry - methods FlowJo Humans Immunology Machine Learning python (programming language) single cell data science Single-Cell Analysis Software systems immunology Workflow |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1NT9wwELUqJNReqgL92JYiI_XUKiWJx0nc24JYURBVDyChXizbsdVtswmCRCj_nnG8u9pVEVx6ixzHieeN7TeJ84aQTxA7A0jrowxjrwi4dZFODQ48VnLhFMZjxgeK5z-yk0s4veJXK6m-_J6wIA8cDHfgJctiFTOTGQOuMEIXKcZVGpQReZwPs29ciJVg6k_gvYwxHj5jYhQmDtx0NuswHkyTr8iwOSRrC9Gg1_8Qyfx3r-Tzrr5W_Z2qqpWFaPKKvJwzSDoOT75Fntl6m2yGnJL9Dvk1qZq7s2n7jY7pz94rA9CLpqn-TluK_JR-X8hDlPRceTlSquqSjru2mQ2FRz0e2fampwu5Eurfpzts9PY1uZwcXxydRPMECpGBjLeRs3lWKpM4l2RKgc8mnipmhTbaJIVWNmc5U1YLcInSGkowYC3XoowTXQCwN2Sjbmr7jlA0fGpzRMCIAjkHWjxNFVrZIP8BxHRE4oU1pZmri_skF5XEKMMDIAcApAdABgBG5PPykusgrfFY5UMP0bKiV8UeCtBX5NxX5FO-MiL7C4AljiL_aUTVtulupZfpR6qUpVjnbQB8eSsGBc50HLuYr7nC2rOsn6mnvwelbp_gS8TY5pel0zzd1ff_o6sfyAvf5PDXJN8lG-1NZz8ifWr13jBS7gGwshgl priority: 102 providerName: Directory of Open Access Journals – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Jb9QwFLZgKgQX9sKwyUicQJlmsZ2Y21AxKqBWPXSkwiWyHVtEzSSjNlEVfj3vZRl1oAIhboljO16e4--L7e8R8ob5zjCA9Z4A7uUxbp2nQwMDL8q4dAr4mEGieHgkDpbs8yk_vXIWBrdVOjy6j46g87JXCh62iOEIB0Yl91y-WjXA7cJgBmiZs2BvnbmbZEdwwOMTsrM8Op5_RaYlBPPAYlm_nHl92q0JqdPtvw5s_r5n8nZTrlV7qYriyoS0uEfMWJV-H8rZrKn1zPz4ReXx_-p6n9wd8Cqd9wkekBu2fEhu9R4s20fk26KoLr_k9Xs6p8ct6hDQk6oqzvKaAhqmn0YxioweKhQ_parM6Lypq1UXuN_Cla3PWzqKo1D8e-8g04vHZLn4eLJ_4A3uGjzDBK89Z2ORKRM4FwilGPouD1VkpTbaBIlWNo7iSFktmQuU1ixjhlnLtcz8QCeMRbtkUlalfUpoYmRoY8OckQkgHD-RYaiAyxhAWwwsaEr8sc9SM2iZo0uNIgVOg82Wds2WYrOlfbNNydtNknUv5PGnyB_QEDYRUYO7C4AuSocuQpl06Ss_MsJASaHIOgmB8WumjIz9OJyS16MZpTBmcSFGlbZqLlJ0CgDATIQQ50lvVptXRSyB7yqHKsZbBrdVlu0nZf690wVHd2LShzzfbUzz71V99k-xn5M7eNcdxuQvyKQ-b-xLQGW1fjUMu5-0szcn priority: 102 providerName: Unpaywall |
| Title | FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/34804056 https://www.proquest.com/docview/2600822622 https://pubmed.ncbi.nlm.nih.gov/PMC8602902 https://www.frontiersin.org/articles/10.3389/fimmu.2021.768541/pdf https://doaj.org/article/11790a03c6cc4f8c9b82133b4ac97072 |
| UnpaywallVersion | publishedVersion |
| Volume | 12 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: KQ8 dateStart: 20100101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: DOA dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: DIK dateStart: 20100101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: GX1 dateStart: 20100101 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: M~E dateStart: 20100101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1664-3224 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: RPM dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVFZP databaseName: Scholars Portal Journals: Open Access customDbUrl: eissn: 1664-3224 dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0000493335 issn: 1664-3224 databaseCode: M48 dateStart: 20101001 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1bb9MwFLbGJgQviDvlUhkJ8QDKlsTOxUgIlYkyQJ32sEqFl8h2bCikSdcmGvn3nJNLRUUFvFRV6jiOzzn198Xt9xHyjLtWc4D1Tgjcy-GBsY7yNRQeSwNhJfAxjURxchqeTPnHWTDbI_3ueTeB653UDv2kpqvs8OdF_QYK_jUyTlhvj-x8saiA6vneIYDngHvPlxcO-krh_mtnsnGFHMDaJdDcYdIRgO8tPmasceH0wpA7kN283frc3fHW4tVo_O8Cpn_-vvJalS9lfSmz7LfFa3yT3OhQJx21aXKL7Jn8Nrna-lDWd8iXcVZcfpqXr-iIntWoJkDPiyL7MS8pYFr6oZeUSOlEooQplXlKR1VZLJqDxzW8M-Wqpr3ECcVn8BY6Xd8l0_G78-MTpzNdcDQPg9KxJgpTqT1rvVBKjg7kvmRGKK20FytpIhYxaZTg1pNK8ZRrbkygROp6Kuac3SP7eZGbB4TGWvgm0txqEQNOcWPh-xJmXANm4pAHA-L2s5noTpEcjTGyBJgJBiBpApBgAJI2AAPyYnPKspXj-FvjtxiiTUNU0m4OFKuvSVeYKHYuXOkyHWoYKQxZxT7wdsWlFpEb-QPytA9wApWH2ykyN0W1TlDaH-BV6EOb-23AN5diPIZvxwBuMdpKha2xbH-Sz7816t5oCiZc6PPlJmn-fasP_2OUj8h1PKP5I2XwmOyXq8o8AURVqmHzJAJe38-8YVMgQ3IwPT0bff4FO0EjNQ |
| linkProvider | Scholars Portal |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Jb9QwFLZgKgQX9sKwyUicQJlmsZ2Y21AxKqBWPXSkwiWyHVtEzSSjNlEVfj3vZRl1oAIhboljO16e4--L7e8R8ob5zjCA9Z4A7uUxbp2nQwMDL8q4dAr4mEGieHgkDpbs8yk_vXIWBrdVOjy6j46g87JXCh62iOEIB0Yl91y-WjXA7cJgBmiZs2BvnbmbZEdwwOMTsrM8Op5_RaYlBPPAYlm_nHl92q0JqdPtvw5s_r5n8nZTrlV7qYriyoS0uEfMWJV-H8rZrKn1zPz4ReXx_-p6n9wd8Cqd9wkekBu2fEhu9R4s20fk26KoLr_k9Xs6p8ct6hDQk6oqzvKaAhqmn0YxioweKhQ_parM6Lypq1UXuN_Cla3PWzqKo1D8e-8g04vHZLn4eLJ_4A3uGjzDBK89Z2ORKRM4FwilGPouD1VkpTbaBIlWNo7iSFktmQuU1ixjhlnLtcz8QCeMRbtkUlalfUpoYmRoY8OckQkgHD-RYaiAyxhAWwwsaEr8sc9SM2iZo0uNIgVOg82Wds2WYrOlfbNNydtNknUv5PGnyB_QEDYRUYO7C4AuSocuQpl06Ss_MsJASaHIOgmB8WumjIz9OJyS16MZpTBmcSFGlbZqLlJ0CgDATIQQ50lvVptXRSyB7yqHKsZbBrdVlu0nZf690wVHd2LShzzfbUzz71V99k-xn5M7eNcdxuQvyKQ-b-xLQGW1fjUMu5-0szcn |
| 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=FlowKit%3A+A+Python+Toolkit+for+Integrated+Manual+and+Automated+Cytometry+Analysis+Workflows&rft.jtitle=Frontiers+in+immunology&rft.au=White%2C+Scott&rft.au=Quinn%2C+John&rft.au=Enzor%2C+Jennifer&rft.au=Staats%2C+Janet&rft.date=2021-11-05&rft.issn=1664-3224&rft.eissn=1664-3224&rft.volume=12&rft.spage=768541&rft_id=info:doi/10.3389%2Ffimmu.2021.768541&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-3224&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-3224&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-3224&client=summon |