_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-metagenomeseq 1.46.0
Propagated dependencies: r-biobase@2.66.0 r-foreach@1.5.2 r-glmnet@4.1-8 r-gplots@3.2.0 r-limma@3.62.1 r-matrix@1.7-1 r-matrixstats@1.4.1 r-rcolorbrewer@1.1-3 r-wrench@1.24.0
Channel: guix
Location: gnu/packages/bioconductor.scm (gnu packages bioconductor)
Home page: https://github.com/HCBravoLab/metagenomeSeq
Licenses: Artistic License 2.0
Synopsis: Statistical analysis for sparse high-throughput sequencing
Description:

MetagenomeSeq is designed to determine features (be it OTU, species, etc.) that are differentially abundant between two or more groups of multiple samples. This package is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.

Total results: 1