NDEx IQuery: a multi-method network gene set analysis leveraging the Network Data Exchange

Author:

Pillich Rudolf T1,Chen Jing1,Churas Christopher1,Fong Dylan1,Gyori Benjamin M2,Ideker Trey1ORCID,Karis Klas2,Liu Sophie N3,Ono Keiichiro1,Pico Alexander4,Pratt Dexter1ORCID

Affiliation:

1. Department of Medicine, UC San Diego , La Jolla, CA 92093, United States

2. Laboratory of Systems Pharmacology, Harvard Medical School , Boston, MA 02115, United States

3. Department of Computer Science, University of Toronto , Toronto, ON M5S 3E1, Canada

4. Institute of Data Science and Biotechnology, Gladstone Institutes , San Francisco, CA 94158, United States

Abstract

AbstractMotivationThe investigation of sets of genes using biological pathways is a common task for researchers and is supported by a wide variety of software tools. This type of analysis generates hypotheses about the biological processes that are active or modulated in a specific experimental context.ResultsThe Network Data Exchange Integrated Query (NDEx IQuery) is a new tool for network and pathway-based gene set interpretation that complements or extends existing resources. It combines novel sources of pathways, integration with Cytoscape, and the ability to store and share analysis results. The NDEx IQuery web application performs multiple gene set analyses based on diverse pathways and networks stored in NDEx. These include curated pathways from WikiPathways and SIGNOR, published pathway figures from the last 27 years, machine-assembled networks using the INDRA system, and the new NCI-PID v2.0, an updated version of the popular NCI Pathway Interaction Database. NDEx IQuery’s integration with MSigDB and cBioPortal now provides pathway analysis in the context of these two resources.Availability and implementationNDEx IQuery is available at https://www.ndexbio.org/iquery and is implemented in Javascript and Java.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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