MetaBinG2: a fast and accurate metagenomic sequence classification system for samples with many unknown organisms

BACKGROUND: Many methods have been developed for metagenomic sequence classification, and most of them depend heavily on genome sequences of the known organisms. A large portion of sequencing sequences may be classified as unknown, which greatly impairs our understanding of the whole sample. RESULT:...

Descripción completa

Detalles Bibliográficos
Autores principales: Qiao, Yuyang, Jia, Ben, Hu, Zhiqiang, Sun, Chen, Xiang, Yijin, Wei, Chaochun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104016/
https://www.ncbi.nlm.nih.gov/pubmed/30134953
http://dx.doi.org/10.1186/s13062-018-0220-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104016/
https://www.ncbi.nlm.nih.gov/pubmed/30134953
http://dx.doi.org/10.1186/s13062-018-0220-y

Ejemplares similares