NetCoMi: network construction and comparison for microbiome data in R.

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 workflow of constructing, analysing and comparing microbial association networks

SUBMITTER: Peschel S 

PROVIDER: S-EPMC8293835 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature