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cff-version: 1.2.0
message: 'To cite package "mina" in publications use:'
type: software
license: GPL-1.0-only
title: 'mina: Microbial community dIversity and Network Analysis'
version: 1.13.0
abstract: An increasing number of microbiome datasets have been generated and analyzed
  with the help of rapidly developing sequencing technologies. At present, analysis
  of taxonomic profiling data is mainly conducted using composition-based methods,
  which ignores interactions between community members. Besides this, a lack of efficient
  ways to compare microbial interaction networks limited the study of community dynamics.
  To better understand how community diversity is affected by complex interactions
  between its members, we developed a framework (Microbial community dIversity and
  Network Analysis, mina), a comprehensive framework for microbial community diversity
  analysis and network comparison. By defining and integrating network-derived community
  features, we greatly reduce noise-to-signal ratio for diversity analyses. A bootstrap
  and permutation-based method was implemented to assess community network dissimilarities
  and extract discriminative features in a statistically principled way.
authors:
- family-names: Guan
  given-names: Rui
  email: guan@mpipz.mpg.de
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Guan06/mina
url: https://github.com/Guan06/mina
contact:
- family-names: Guan
  given-names: Rui
  email: guan@mpipz.mpg.de