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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Microbiome
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2019
Gaiak:
Software
Sarrera elektronikoa: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
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak