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PathwAX II: network-based pathway analysis with interactive visualization of network crosstalk
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab). Helmholtz Center Munich, Germany.ORCID iD: 0000-0003-3969-1585
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-4665-6537
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics. Stockholm University, Science for Life Laboratory (SciLifeLab).ORCID iD: 0000-0002-9015-5588
Number of Authors: 32022 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 38, no 9, p. 2659-2660Article in journal (Refereed) Published
Abstract [en]

Motivation: Pathway annotation tools are indispensable for the interpretation of a wide range of experiments in life sciences. Network-based algorithms have recently been developed which are more sensitive than traditional overlap-based algorithms, but there is still a lack of good online tools for network-based pathway analysis. Results: We present PathwAX II-a pathway analysis web tool based on network crosstalk analysis using the BinoX algorithm. It offers several new features compared with the first version, including interactive graphical network visualization of the crosstalk between a query gene set and an enriched pathway, and the addition of Reactome pathways.

Place, publisher, year, edition, pages
2022. Vol. 38, no 9, p. 2659-2660
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Biological Sciences Computer and Information Sciences
Identifiers
URN: urn:nbn:se:su:diva-204489DOI: 10.1093/bioinformatics/btac153ISI: 000785759800001PubMedID: 35266519OAI: oai:DiVA.org:su-204489DiVA, id: diva2:1656923
Available from: 2022-05-09 Created: 2022-05-09 Last updated: 2022-05-09Bibliographically approved

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Ogris, ChristophCastresana-Aguirre, MiguelSonnhammer, Erik L. L.

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