MG-Digger: An Automated Pipeline to Search for Giant Virus-Related Sequences in Metagenomes

The number of metagenomic studies conducted each year is growing dramatically. Storage and analysis of such big data is difficult and time-consuming. Interestingly, analysis shows that environmental and human metagenomes include a significant amount of non-annotated sequences, representing a ‘dark m...

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Detalles Bibliográficos
Autores principales: Verneau, Jonathan, Levasseur, Anthony, Raoult, Didier, La Scola, Bernard, Colson, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4814491/
https://www.ncbi.nlm.nih.gov/pubmed/27065984
http://dx.doi.org/10.3389/fmicb.2016.00428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4814491/
https://www.ncbi.nlm.nih.gov/pubmed/27065984
http://dx.doi.org/10.3389/fmicb.2016.00428

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