https://feargalr.r-universe.devRecent package updates in feargalrR-universehttps://github.com/feargalr.pnghttps://feargalr.r-universe.devMon, 21 Sep 2026 00:11:22 GMTfeargalr@gmail.com (Feargal Ryan)TaxSEA makes metagenomic data easier to interpret. Rather than reading species one at a time, it tests whether a-priori defined sets of taxa shift together, drawing on public databases (BugSigDB, MiMeDB, GutMGene, mBodyMap, BacDive and GMRepoV2) and on sets collated from the literature. Two approaches are provided. TaxSEA takes taxon names or NCBI IDs with a rank per taxon, such as a fold change or correlation coefficient, and tests each set with a Kolmogorov-Smirnov test. ssTaxSEA scores every set in a single sample as the mean centered log-ratio of its members, giving a per-sample value to use in any downstream model. Both work with any taxonomic profiling technology, including 16S rRNA gene sequencing, shotgun metagenomics and metatranscriptomics.https://github.com/r-universe/bioc/actions/runs/35671468905Mon, 21 Sep 2026 00:11:22 GMTTaxSEA1.5.7successhttps://bioc.r-universe.devhttps://github.com/bioc/TaxSEAORA_vs_ES.RmdORA_vs_ES.htmlAnalysis types2026-01-14 05:20:202026-01-14 05:20:20FAQs.RmdFAQs.htmlFrequently Asked Questions2026-01-13 05:45:352026-01-13 05:45:35single-sample-enrichment.Rmdsingle-sample-enrichment.htmlSingle-sample enrichment with ssTaxSEA2026-02-12 03:27:482026-09-16 11:01:09Taxonomic-aggregation.RmdTaxonomic-aggregation.htmlTesting higher taxonomic levels without collapsing your data2026-01-13 06:14:452026-02-10 01:10:25TaxSEA.RmdTaxSEA.htmlTaxSEA2024-12-09 00:37:462026-09-21 00:11:22why-taxon-set-enrichment.Rmdwhy-taxon-set-enrichment.htmlWhy use taxon set enrichment analysis?2026-01-13 05:45:352026-01-15 00:20:27