https://csogroup.r-universe.devRecent package updates in csogroupR-universehttps://github.com/csogroup.pnghttps://csogroup.r-universe.devSun, 12 Jul 2026 07:24:53 GMTayalurarvind@gmail.com (Arvind Iyer)Implements the 'SelectSim' methodology for identifying patterns of co-occurrence and mutual exclusivity between functional genomic alterations in cancer cohorts. The package processes mutation annotation data, constructs alteration matrices, estimates expected alteration-pair frequencies, and quantifies deviations associated with selective interactions. The methodology is described in Iyer et al. (2026) <doi:10.1038/s41588-026-02661-4>.https://github.com/r-universe/csogroup/actions/runs/29900625611Sun, 12 Jul 2026 07:24:53 GMTSelectSim0.1.6successhttps://csogroup.r-universe.devhttps://github.com/csogroup/selectsimdata_processing.Rmddata_processing.htmlData Processing with SelectSim2024-08-23 07:23:182026-07-12 07:24:53introduction.Rmdintroduction.htmlIntroduction to SelectSim2024-08-23 07:23:182026-07-12 07:24:53pumin.li@unil.ch (Pumin Li)Integrates Topologically Associating Domains (TADs) predictions from multiple computational tools to generate high-confidence consensus TAD sets. The package implements the Measure of Concordance (MoC) metric to quantify agreement between different TAD predictions and uses dynamic programming algorithms to select optimal non-overlapping TAD boundaries. This approach helps resolve inconsistencies between TAD calling methods and produces more reliable chromatin domain annotations for downstream genomic analyses.https://github.com/r-universe/biocstaging/actions/runs/28668875692Fri, 03 Jul 2026 15:01:27 GMTconsensusTADs0.99.4successhttps://biocstaging.r-universe.devhttps://github.com/BiocStaging/consensusTADsgenerating-consensus-TADs.Rmdgenerating-consensus-TADs.htmlGenerating Consensus TADs with generate_tad_consensus2025-05-30 17:22:452026-06-23 09:50:05