CAMISIM: simulating metagenomes and microbial communities

CAMISIM: simulating metagenomes and microbial communities

Abstract Background Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natural variation of the underlying biological systems, but also due to differences in laboratory protocols, replicate numbers, and sequencing technologies. Accordingly, to effectively a...

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Bibliographic Details
Main Authors: Adrian Fritz, Peter Hofmann, Stephan Majda, Eik Dahms, Johannes Dröge, Jessika Fiedler, Till R. Lesker, Peter Belmann, Matthew Z. DeMaere, Aaron E. Darling, Alexander Sczyrba, Andreas Bremges, Alice C. McHardy
Format: Article
Language:English
Published: BMC 2019-02-01
Series:Microbiome
Subjects:
Metagenomics software
Microbial community
Benchmarking
Simulation
Metagenome assembly
Genome binning
Online Access:http://link.springer.com/article/10.1186/s40168-019-0633-6

Internet

http://link.springer.com/article/10.1186/s40168-019-0633-6

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