netboxr: Automated discovery of biological process modules by network analysis in R
Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in canc...
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| Published in | PloS one Vol. 15; no. 11; p. e0234669 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Public Library of Science
02.11.2020
Public Library of Science (PLoS) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1932-6203 1932-6203 |
| DOI | 10.1371/journal.pone.0234669 |
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| Abstract | Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology.
The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html. |
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| AbstractList | Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology. Summary Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology. Availability and implementation The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology. The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html. Summary Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology. Availability and implementation The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology.SUMMARYLarge-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology.The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html.AVAILABILITY AND IMPLEMENTATIONThe netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html. SummaryLarge-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology.Availability and implementationThe netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html. Summary Large-scale sequencing projects, such as The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC), have generated high throughput sequencing and molecular profiling data sets, but it is still challenging to identify potentially causal changes in cellular processes in cancer as well as in other diseases in an automated fashion. We developed the netboxr package written in the R programming language, which makes use of the NetBox algorithm to identify candidate cancer-related functional modules. The algorithm makes use of a data-driven, network-based approach that combines prior knowledge with a network clustering algorithm, obviating the need for and the limitation of independently curated functionally labeled gene sets. The method can combine multiple data types, such as mutations and copy number alterations, leading to more reliable identification of functional modules. We make the tool available in the Bioconductor R ecosystem for applications in cancer research and cell biology. Availability and implementation The netboxr package is free and open-sourced under the GNU GPL-3 license R package available at https://www.bioconductor.org/packages/release/bioc/html/netboxr.html |
| Audience | Academic |
| Author | Sander, Chris Luna, Augustin Dong, Guanlan Liu, Eric Minwei |
| AuthorAffiliation | 2 Department of Cell Biology, Harvard Medical School, Boston, MA, United States of America 5 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America 1 Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America 3 cBio Center, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, United States of America 4 Broad Institute of MIT and Harvard, Cambridge, MA, United States of America Chinese Academy of Sciences, CHINA |
| AuthorAffiliation_xml | – name: 3 cBio Center, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, United States of America – name: 2 Department of Cell Biology, Harvard Medical School, Boston, MA, United States of America – name: 4 Broad Institute of MIT and Harvard, Cambridge, MA, United States of America – name: 5 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States of America – name: Chinese Academy of Sciences, CHINA – name: 1 Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America |
| Author_xml | – sequence: 1 givenname: Eric Minwei surname: Liu fullname: Liu, Eric Minwei – sequence: 2 givenname: Augustin orcidid: 0000-0001-5709-371X surname: Luna fullname: Luna, Augustin – sequence: 3 givenname: Guanlan orcidid: 0000-0002-4747-6036 surname: Dong fullname: Dong, Guanlan – sequence: 4 givenname: Chris orcidid: 0000-0001-6059-6270 surname: Sander fullname: Sander, Chris |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33137091$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1038/ng.2764 10.1089/omi.2011.0118 10.1038/s41596-018-0103-9 10.1038/nature08987 10.1016/j.cell.2013.09.034 10.1103/PhysRevE.69.026113 10.1093/nar/28.18.3442 10.1158/2159-8290.CD-12-0095 |
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| Copyright | COPYRIGHT 2020 Public Library of Science 2020 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2020 Liu et al 2020 Liu et al |
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| References | E Cerami (pone.0234669.ref004) 2010 MA Jensen (pone.0234669.ref003) 2017 Gabor Csardi (pone.0234669.ref010) 2006 K Chang (pone.0234669.ref001) 2013; 45 TJ Hudson (Chairperson) (pone.0234669.ref002) 2010; 464 J Reimand (pone.0234669.ref013) 2019; 14 E Cerami (pone.0234669.ref006) 2012; 2 G Yu (pone.0234669.ref011) 2012; 16 J Gao (pone.0234669.ref007) 2013; 6 I Rodchenkov (pone.0234669.ref008) 2020; 48 MEJ Newman (pone.0234669.ref005) 2004; 69 CW Brennan (pone.0234669.ref012) 2013; 155 B Snel (pone.0234669.ref009) 2000; 28 |
| References_xml | – start-page: 1695 year: 2006 ident: pone.0234669.ref010 article-title: The igraph software package for complex network research. InterJournal publication-title: Complex Sy – volume: 45 start-page: 1113 year: 2013 ident: pone.0234669.ref001 article-title: The Cancer Genome Atlas Pan-Cancer analysis project publication-title: Nat Genet doi: 10.1038/ng.2764 – volume: 48 start-page: D489 year: 2020 ident: pone.0234669.ref008 article-title: Pathway Commons 2019 Update: Integration, analysis and exploration of pathway data publication-title: Nucleic Acids Res – start-page: 453 year: 2017 ident: pone.0234669.ref003 article-title: The NCI Genomic Data Commons as an engine for precision medicine publication-title: Blood. American Society of Hematology – volume: 16 start-page: 284 year: 2012 ident: pone.0234669.ref011 article-title: ClusterProfiler: An R package for comparing biological themes among gene clusters publication-title: Omi A J Integr Biol doi: 10.1089/omi.2011.0118 – volume: 14 start-page: 482 issue: 2 year: 2019 ident: pone.0234669.ref013 article-title: Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap publication-title: Nat Protoc doi: 10.1038/s41596-018-0103-9 – volume: 464 start-page: 993 year: 2010 ident: pone.0234669.ref002 article-title: International network of cancer genome projects publication-title: Nature doi: 10.1038/nature08987 – volume: 6 start-page: pl1 year: 2013 ident: pone.0234669.ref007 article-title: Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal publication-title: Sci Signal – start-page: 5 year: 2010 ident: pone.0234669.ref004 article-title: Automated network analysis identifies core pathways in glioblastoma publication-title: PLoS One – volume: 155 start-page: 462 year: 2013 ident: pone.0234669.ref012 article-title: The Somatic Genomic Landscape of Glioblastoma publication-title: Cell doi: 10.1016/j.cell.2013.09.034 – volume: 69 start-page: 026113 year: 2004 ident: pone.0234669.ref005 article-title: Finding and evaluating community structure in networks publication-title: Phys Rev E—Stat Nonlinear, Soft Matter Phys doi: 10.1103/PhysRevE.69.026113 – volume: 28 start-page: 3442 year: 2000 ident: pone.0234669.ref009 article-title: String: A web-server to retrieve and display the repeatedly occurring neighbourhood of a gene publication-title: Nucleic Acids Res doi: 10.1093/nar/28.18.3442 – volume: 2 start-page: 401 year: 2012 ident: pone.0234669.ref006 article-title: The cBio Cancer Genomics Portal: An open platform for exploring multidimensional cancer genomics data publication-title: Cancer Discov doi: 10.1158/2159-8290.CD-12-0095 |
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| Title | netboxr: Automated discovery of biological process modules by network analysis in R |
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