<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kurzawa N</submitter><funding>lowship of the EMBL International Postdoc programme</funding><funding>European Molecular Biology Laboratory</funding><funding>Marie Skłodowska</funding><funding>EMBL International PhD programme</funding><pagination>431-433</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8058776</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>37(3)</volume><pubmed_abstract>&lt;h4>Summary&lt;/h4>Rtpca is an R package implementing methods for inferring protein-protein interactions (PPIs) based on thermal proteome profiling experiments of a single condition or in a differential setting via an approach called thermal proximity coaggregation. It offers user-friendly tools to explore datasets for their PPI predictive performance and easily integrates with available R packages.&lt;h4>Availability and implementation&lt;/h4>Rtpca is available from Bioconductor (https://bioconductor.org/packages/Rtpca).&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>Rtpca: an R package for differential thermal proximity coaggregation analysis.</pubmed_title><pmcid>PMC8058776</pmcid><funding_grant_id>664726</funding_grant_id><pubmed_authors>Savitski MM</pubmed_authors><pubmed_authors>Mateus A</pubmed_authors><pubmed_authors>Kurzawa N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Rtpca: an R package for differential thermal proximity coaggregation analysis.</name><description>&lt;h4>Summary&lt;/h4>Rtpca is an R package implementing methods for inferring protein-protein interactions (PPIs) based on thermal proteome profiling experiments of a single condition or in a differential setting via an approach called thermal proximity coaggregation. It offers user-friendly tools to explore datasets for their PPI predictive performance and easily integrates with available R packages.&lt;h4>Availability and implementation&lt;/h4>Rtpca is available from Bioconductor (https://bioconductor.org/packages/Rtpca).&lt;h4>Supplementary information&lt;/h4>Supplementary data are available at Bioinformatics online.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2025-05-31T22:20:47.148Z</modification><creation>2022-02-09T17:48:36.607Z</creation></dates><accession>S-EPMC8058776</accession><cross_references><pubmed>32717044</pubmed><doi>10.1093/bioinformatics/btaa682</doi></cross_references></HashMap>