CAMISIM: simulating metagenomes and microbial communities

2019207 citationsJournal Articlegold Open Access

Authors

Adrian Fritz · Helmholtz Centre for Infection Research

Peter Hofmann · Heinrich Heine University Düsseldorf

Stephan Majda · Helmholtz Centre for Infection Research

Eik Dahms · Helmholtz Centre for Infection Research

Johannes Dröge · Heinrich Heine University Düsseldorf

Jessika Fiedler · Heinrich Heine University Düsseldorf

Till Robin Lesker

Abstract

CAMISIM can simulate a wide variety of microbial communities and metagenome data sets together with standards of truth for method evaluation. All data sets and the software are freely available at https://github.com/CAMI-challenge/CAMISIM.

Topics & Keywords

Microbial Community Ecology and Physiology Gut microbiota and health Genomics and Phylogenetic Studies

Publication Details

Published in: Microbiome

Volume 7, Issue 1, pp. 17-17

DOI: 10.1186/s40168-019-0633-6

Field-Weighted Citation Impact: 17.63

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CAMISIM: simulating metagenomes and microbial communities

Authors

Abstract

Topics & Keywords

Publication Details