CAMISIM: simulating metagenomes and microbial communities

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 assess th...

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Bibliografiske detaljer
Udgivet i:Microbiome
Main Authors: Fritz, Adrian, Hofmann, Peter, Majda, Stephan, Dahms, Eik, Dröge, Johannes, Fiedler, Jessika, Lesker, Till R., Belmann, Peter, DeMaere, Matthew Z., Darling, Aaron E., Sczyrba, Alexander, Bremges, Andreas, McHardy, Alice C.
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
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Software
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6368784/
https://ncbi.nlm.nih.gov/pubmed/30736849
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40168-019-0633-6
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