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sigvar - Quantify and visualize variability of mutational signatures within and across samples
This package allows users to import mutational signature attribution (a.k.a. exposure) matrices and compute, visualize, and test their variabilities within and across samples.
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softwarewholegenomesomaticmutationstructuralvariationstatisticalmethodvisualizationdrivermutationdataimport
5.43 score 3 stars 8 scripts 139 downloadsFAVA - Quantify Compositional Variability Across Relative Abundance Vectors
Implements the statistic FAVA, an Fst-based Assessment of Variability across vectors of relative Abundances, as well as a suite of helper functions which enable the visualization and statistical analysis of relative abundance data. The 'FAVA' R package accompanies the paper, “Quantifying compositional variability in microbial communities with FAVA” by Morrison, Xue, and Rosenberg (2025) <doi:10.1073/pnas.2413211122>.
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4.72 score 7 stars 15 scripts 276 downloads