Machine Learning for detection of viral sequences in human metagenomic datasets

BACKGROUND: Detection of highly divergent or yet unknown viruses from metagenomics sequencing datasets is a major bioinformatics challenge. When human samples are sequenced, a large proportion of assembled contigs are classified as “unknown”, as conventional methods find no similarity to known seque...

Descripción completa

Detalles Bibliográficos
Autores principales: Bzhalava, Zurab, Tampuu, Ardi, Bała, Piotr, Vicente, Raul, Dillner, Joakim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154907/
https://www.ncbi.nlm.nih.gov/pubmed/30249176
http://dx.doi.org/10.1186/s12859-018-2340-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154907/
https://www.ncbi.nlm.nih.gov/pubmed/30249176
http://dx.doi.org/10.1186/s12859-018-2340-x

Ejemplares similares