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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no: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.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Software
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados