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Contributing to this gap is the fact that living organisms are complex systems whose emerging phenotypes are the results of multiple complex interactions taking place on various pathways. This demands powerful yet user-friendly pathway analysis tools to translate the now abundant high-throughput data into a better understanding of the underlying biological phenomena. Here we introduce Consensus Pathway Analysis (CPA), a web-based platform that allows researchers to (i) perform pathway analysis using eight established methods (GSEA, GSA, FGSEA, PADOG, Impact Analysis, ORA\/Webgestalt, KS-test, Wilcox-test), (ii) perform meta-analysis of multiple datasets, (iii) combine methods and datasets to accurately identify the impacted pathways underlying the studied condition and (iv) interactively explore impacted pathways, and browse relationships between pathways and genes. The platform supports three types of input: (i) a list of differentially expressed genes, (ii) genes and fold changes and (iii) an expression matrix. It also allows users to import data from NCBI GEO. The CPA platform currently supports the analysis of multiple organisms using KEGG and Gene Ontology, and it is freely available at http:\/\/cpa.tinnguyen-lab.com.<\/jats:p>","DOI":"10.1093\/nar\/gkab421","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T14:51:30Z","timestamp":1620226290000},"page":"W114-W124","source":"Crossref","is-referenced-by-count":34,"title":["CPA: a web-based platform for consensus pathway analysis and interactive visualization"],"prefix":"10.1093","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4756-1732","authenticated-orcid":false,"given":"Hung","family":"Nguyen","sequence":"first","affiliation":[{"name":"University of Nevada Reno, Department of Computer Science and Engineering, Reno, NV 89557, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2918-8601","authenticated-orcid":false,"given":"Duc","family":"Tran","sequence":"additional","affiliation":[{"name":"University of Nevada Reno, Department of Computer Science and Engineering, Reno, NV 89557, USA"}]},{"given":"Jonathan M","family":"Galazka","sequence":"additional","affiliation":[{"name":"NASA Ames Research Center, Space Biosciences Division, Moffett Field, CA 94035, USA"}]},{"given":"Sylvain V","family":"Costes","sequence":"additional","affiliation":[{"name":"NASA Ames Research Center, Space Biosciences Division, Moffett Field, CA 94035, USA"}]},{"given":"Afshin","family":"Beheshti","sequence":"additional","affiliation":[{"name":"KBR, NASA Ames Research Center, Space Biosciences Division, Moffett Field, CA 94035, USA"}]},{"given":"Juli","family":"Petereit","sequence":"additional","affiliation":[{"name":"University of Nevada Reno, Nevada Bioinformatics Center, Reno, NV 89557, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0786-8377","authenticated-orcid":false,"given":"Sorin","family":"Draghici","sequence":"additional","affiliation":[{"name":"Wayne State University, Department of Computer Science, Detroit, MI 48202, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8001-9470","authenticated-orcid":false,"given":"Tin","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Nevada Reno, Department of Computer Science and Engineering, Reno, NV 89557, USA"}]}],"member":"286","published-online":{"date-parts":[[2021,5,25]]},"reference":[{"key":"2021070812103626800_B1","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/nar\/28.1.27","article-title":"KEGG: Kyoto encyclopedia of genes and genomes","volume":"28","author":"Kanehisa","year":"2000","journal-title":"Nucleic Acids Res."},{"key":"2021070812103626800_B2","first-page":"D498","article-title":"The reactome pathway knowledgebase","volume":"48","author":"Jassal","year":"2019","journal-title":"Nucleic Acids Res."},{"key":"2021070812103626800_B3","doi-asserted-by":"crossref","first-page":"e6447","DOI":"10.1371\/journal.pone.0006447","article-title":"Mining biological pathways using WikiPathways web services","volume":"4","author":"Kelder","year":"2009","journal-title":"PLoS One"},{"key":"2021070812103626800_B4","doi-asserted-by":"crossref","first-page":"D325","DOI":"10.1093\/nar\/gkaa1113","article-title":"The Gene Ontology resource: enriching a GOld mine","volume":"49","author":"The Gene Ontology Consortium","year":"2021","journal-title":"Nucleic Acids Res."},{"key":"2021070812103626800_B5","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1186\/s13059-019-1790-4","article-title":"Identifying significantly impacted pathways: a comprehensive review and assessment","volume":"20","author":"Nguyen","year":"2019","journal-title":"Genome Biol."},{"key":"2021070812103626800_B6","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1002\/cpbi.42","article-title":"Network-based approaches for pathway level analysis","volume":"61","author":"Nguyen","year":"2018","journal-title":"Curr. 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