Article detail · 2019
Pathway Commons 2019 Update: integration, analysis and exploration of pathway data
Journal
Nucleic Acids Research- Year
- 2019
- Type
- article
Data source split
- YÖKSİS venue Nucleic Acids Research
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
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 (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.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
355 citations
OpenAlex cited_by_count (cache / database)
5 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Newt: a comprehensive web-based tool for viewing, constructing and analyzing biological maps 2021
- Systems biology graphical notation markup language (SBGNML) version 0.3 2020
- Analyzing causal relationships in proteomic profiles using CausalPath 2021
- Performance Assessment of the Network Reconstruction Approaches on Various Interactomes. 2021
- SyBLaRS: A web service for laying out, rendering and mining biological maps in SBGN, SBML and more 2022