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It handles a variety of input formats via an easy-to-install Python package, including percent spliced in values comparing two conditions, skipped exon counts, or precalculated exon usage statistics between experimental conditions. In each case, Splitpea produces rewired network graphs, edge and gene-level summary statistics, and Cytoscape- or Gephi-ready files for easy visualization, allowing users to find PPIs potentially disrupted or increased by alternative splicing.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>Source code and accompanying documentation can be found on Github (https:\/\/github.com\/ylaboratory\/splitpea-package), released under a BSD 3-clause license for open-source use, and the Splitpea package is installable via PyPI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag154","type":"journal-article","created":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T12:49:33Z","timestamp":1774442973000},"source":"Crossref","is-referenced-by-count":0,"title":["Splitpea: a Python package for protein-protein interaction network rewiring 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