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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ANCOMBC" in publications use:'
type: software
license: Artistic-2.0
title: 'ANCOMBC: Microbiome differential abudance and correlation analyses with bias
  correction'
version: 2.7.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ANCOMBC
abstract: 'ANCOMBC is a package containing differential abundance (DA) and correlation
  analyses for microbiome data. Specifically, the package includes Analysis of Compositions
  of Microbiomes with Bias Correction 2 (ANCOM-BC2), Analysis of Compositions of Microbiomes
  with Bias Correction (ANCOM-BC), and Analysis of Composition of Microbiomes (ANCOM)
  for DA analysis, and Sparse Estimation of Correlations among Microbiomes (SECOM)
  for correlation analysis. Microbiome data are typically subject to two sources of
  biases: unequal sampling fractions (sample-specific biases) and differential sequencing
  efficiencies (taxon-specific biases). Methodologies included in the ANCOMBC package
  are designed to correct these biases and construct statistically consistent estimators.'
authors:
- family-names: Lin
  given-names: Huang
  email: huanglinfrederick@gmail.com
  orcid: https://orcid.org/0000-0002-4892-7871
preferred-citation:
  type: article
  title: Analysis of compositions of microbiomes with bias correction
  authors:
  - family-names: Lin
    given-names: Huang
    email: huanglinfrederick@gmail.com
    orcid: https://orcid.org/0000-0002-4892-7871
  - family-names: Peddada
    given-names: Shyamal Das
  journal: Nature communications
  year: '2020'
  volume: '11'
  issue: '1'
  url: https://www.nature.com/articles/s41467-020-17041-7
  start: 1-11
repository: https://bioc.r-universe.dev
repository-code: https://github.com/FrederickHuangLin/ANCOMBC
commit: 607faaadc84c63c943cd822bc71586629321bd8c
url: https://github.com/FrederickHuangLin/ANCOMBC
date-released: '2023-09-18'
contact:
- family-names: Lin
  given-names: Huang
  email: huanglinfrederick@gmail.com
  orcid: https://orcid.org/0000-0002-4892-7871
references:
- type: article
  title: Linear and nonlinear correlation estimators unveil undescribed taxa interactions
    in microbiome data
  authors:
  - family-names: Lin
    given-names: Huang
  - family-names: Eggesbo
    given-names: Merete
  - family-names: Peddada
    given-names: Shyamal Das
  journal: Nature communications
  year: '2022'
  volume: '13'
  issue: '1'
  url: https://www.nature.com/articles/s41467-022-32243-x
  start: 1-16