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The web server and database DIGGER overcomes this limitation by augmenting a protein\u2013protein interaction network with domain\u2013domain interactions and splicing information. Here, we present DIGGER 2.0, which now features both experimental and newly added predicted domain\u2013domain interactions. In addition to the human interactome, DIGGER 2.0 adds support for\u00a0mouse as an important model organism. Additionally, we integrated the splicing analysis tool NEASE, which allows users to perform online splicing- and interactome-informed enrichment analysis on RNA-seq data. In two application cases (multiple sclerosis and mice models of cardiac diseases), we show the utility of DIGGER 2.0 for deeper exploration and functional interpretation of changes in alternative splicing in human and mouse disorders. 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Reichertz Institute for Medical Informatics of Technische Universit\u00e4t Braunschweig and Hannover Medical School , Rebenring 56\u00a0Lower Saxony, 38106\u00a0Braunschweig ,","place":["Germany"]},{"name":"Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universit\u00e4t Braunschweig , Rebenring 56\u00a0Lower Saxony, 38106\u00a0Braunschweig ,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0282-0462","authenticated-orcid":false,"given":"Jan","family":"Baumbach","sequence":"additional","affiliation":[{"name":"Institute for Computational Systems Biology, University of Hamburg , Albert-Einstein-Ring 8-10, 22761 Hamburg,","place":["Germany"]},{"name":"Institute of Mathematics and Computer Science, University of Southern Denmark , Campusvej 55, 5230 Odense 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