articleBriefings in BioinformaticsOct 7, 2020HYBRID OA

NetCoMi: network construction and comparison for microbiome data in R

SPStefanie PeschelCLChristian L. MüllerEVErika von MutiusABAnne‐Laure BoulesteixMDMartin Depner

Helmholtz Zentrum München · LMU Klinikum · +4 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

MOTIVATION: Estimating microbial association networks from high-throughput sequencing data is a common exploratory data analysis approach aiming at understanding the complex interplay of microbial communities in their natural habitat. Statistical network estimation workflows comprise several analysis steps, including methods for zero handling, data normalization and computing microbial associations. Since microbial interactions are likely to change between conditions, e.g. between healthy individuals and patients, identifying network differences between groups is often an integral secondary analysis step. Thus far, however, no unifying computational tool is available that facilitates the whole analysis…

Citation impact

567
total citations
FWCI
17.67
Percentile
100%
References
140
Citations per year

Authors

5

Topics & keywords

Topics
Keywords
  • Workflow
  • Computer science
  • Microbiome
  • Scripting language
  • Network analysis
  • Data mining
  • Normalization (sociology)
  • R package
UN Sustainable Development Goals
  • Life in Land
No related works found for this paper.

Funding