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Abstract

Hill-based indices provide a rational framework for analysis of dissimilarity between microbial community samples. In combination with a null model, the effects of deterministic and stochastic community assembly factors on taxa of different relative abundances can be systematically investigated. Calculations of Hill-based dissimilarity indices in combination with a null model can be done in qdiv, which is freely available as a Python package ( https://github.com/omvatten/qdiv ). In qdiv, a consensus table can also be determined from several count tables generated with different bioinformatic pipelines. Video Abstract.

Keywords

Jaccard indexNull modelSpurious relationshipAmpliconAmplicon sequencingIndex of dissimilarity

Identifiers

DOI
10.1186/s40168-020-00909-7
PubMed
32917275
Journal
Microbiome
Year
2020