Nucleic Acids ResearchBioinformaticsPeer-reviewed journal article
Pathway Commons: 2019 Update
Igor V. Rodchenkov, Özgün BaburiD, Augustin LunaiD, Bülent Arman AksoyiD, Jeffrey V. WongiD, Dylan Fong, Max FranziD, Metin Can SiperiD, Manfred Cheung, Michael WranaiD, Harsh Mistry, Logan MosieriD, Jonah Dlin, Qizhi Wen, Caitlin O’CallaghaniD, Wanxin LiiD, G Domingues Elder, Peter T. Smith, Christian DallagoiD, Ethan G CeramiiD, Benjamin E GrossiD, Uğur DoğrusöziD, Emek DemiriD, Gary D. BaderiD, Chris SanderiD
Abstract
Pathway Commons (https://www.pathwaycommons.org) is an integrated resource of publicly available information about biological pathways including biochemical reactions, assembly of biomolecular complexes, transport and catalysis events and physical interactions involving proteins, DNA, RNA, and small molecules (e.g., metabolites and drug compounds). Data is collected from multiple providers in standard formats, including the Biological Pathway Exchange (BioPAX) language and the Proteomics Standards Initiative Molecular Interactions format, and then integrated. Pathway Commons provides biologists with (1) tools to search this comprehensive resource, (2) a download site offering integrated bulk sets of pathway data (e.g., tables of interactions and gene sets), (3) reusable software libraries for working with pathway information in several programming languages (Java, R, Python, and Javascript), and (4) a web service for programmatically querying the entire dataset. Visualization of pathways is supported using the Systems Biological Graphical Notation (SBGN). Pathway Commons currently contains data from 22 databases with 4,794 detailed human biochemical processes (i.e., pathways) and [~]2.3 million interactions. To enhance the usability of this large resource for end-users, we develop and maintain interactive web applications and training materials that enable pathway exploration and advanced analysis.
- organism: human
- assay: protein structure
- research focus: database / resource
- approach: statistical model
- Citations
- 311
- FWCI
- 10.92
- Field percentile
- top 1%
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