{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nguyen H"],"funding":["NASA","National Aeronautics and Space Administration","National Cancer Institute","NCI NIH HHS","National Institute of General Medical Sciences","NIGMS NIH HHS","National Science Foundation"],"pagination":["bbae222"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11264295"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(Supplement_1)"],"pubmed_abstract":["This manuscript describes the development of a resource module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' (https://github.com/NIGMS/NIGMS-Sandbox). The module delivers learning materials on Cloud-based Consensus Pathway Analysis in an interactive format that uses appropriate cloud resources for data access and analyses. Pathway analysis is important because it allows us to gain insights into biological mechanisms underlying conditions. But the availability of many pathway analysis methods, the requirement of coding skills, and the focus of current tools on only a few species all make it very difficult for biomedical researchers to self-learn and perform pathway analysis efficiently. Furthermore, there is a lack of tools that allow researchers to comp"],"journal":["Briefings in bioinformatics"],"pubmed_title":["CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome."],"pmcid":["PMC11264295"],"funding_grant_id":["80NSSC22M0255","R44 GM152152","U01 CA274573","P20 GM103440","GM103440 and 1R44GM152152-01","1U01CA274573-01A1","2343019 and 2203236"],"pubmed_authors":["Nguyen H","Petereit J","Tran B","Nguyen T","Pham VD"],"additional_accession":[]},"is_claimable":false,"name":"CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome.","description":"This manuscript describes the development of a resource module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' (https://github.com/NIGMS/NIGMS-Sandbox). The module delivers learning materials on Cloud-based Consensus Pathway Analysis in an interactive format that uses appropriate cloud resources for data access and analyses. Pathway analysis is important because it allows us to gain insights into biological mechanisms underlying conditions. But the availability of many pathway analysis methods, the requirement of coding skills, and the focus of current tools on only a few species all make it very difficult for biomedical researchers to self-learn and perform pathway analysis efficiently. Furthermore, there is a lack of tools that allow researchers to comp","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2026-06-02T09:10:06.005Z","creation":"2026-05-25T03:07:22.86Z"},"accession":"S-EPMC11264295","cross_references":{"pubmed":["39041916"],"doi":["10.1093/bib/bbae222"]}}