Pathway Commons 2019 Update: integration, analysis and exploration of pathway data

Author:

Rodchenkov Igor1,Babur Ozgun2ORCID,Luna Augustin34,Aksoy Bulent Arman56,Wong Jeffrey V1ORCID,Fong Dylan1,Franz Max1,Siper Metin Can2,Cheung Manfred1,Wrana Michael1,Mistry Harsh1,Mosier Logan1,Dlin Jonah1,Wen Qizhi1,O’Callaghan Caitlin1,Li Wanxin1,Elder Geoffrey1,Smith Peter T1,Dallago Christian478ORCID,Cerami Ethan9,Gross Benjamin10,Dogrusoz Ugur11ORCID,Demir Emek2,Bader Gary D1ORCID,Sander Chris34

Affiliation:

1. The Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada

2. Department of Molecular and Medical Genetics, School of Medicine, Oregon Health & Science University, Portland, OR 97239, USA

3. cBio Center, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA

4. Department of Cell Biology, Harvard Medical School, Boston, MA 02215, USA

5. Computational Biology Center, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA

6. Tri-Institutional Training Program in Computational Biology and Medicine, New York, NY 10065, USA

7. Department of Systems Biology, Harvard Medical School, Boston, MA 02215, USA

8. Department of Informatics, Technische Universität München, 85748 Garching, Germany

9. Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA

10. Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA

11. Department of Computer Engineering, Bilkent University, Ankara 06800, Turkey

Abstract

AbstractPathway 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 (i) tools to search this comprehensive resource, (ii) a download site offering integrated bulk sets of pathway data (e.g. tables of interactions and gene sets), (iii) reusable software libraries for working with pathway information in several programming languages (Java, R, Python and Javascript) and (iv) 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 4794 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.

Funder

National Institutes of Health

DARPA

Publisher

Oxford University Press (OUP)

Subject

Genetics

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