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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368784/
https://www.ncbi.nlm.nih.gov/pubmed/30736849
http://dx.doi.org/10.1186/s40168-019-0633-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368784/
https://www.ncbi.nlm.nih.gov/pubmed/30736849
http://dx.doi.org/10.1186/s40168-019-0633-6

Ejemplares similares