COGNIZER: A Framework for Functional Annotation of Metagenomic Datasets

BACKGROUND: Recent advances in sequencing technologies have resulted in an unprecedented increase in the number of metagenomes that are being sequenced world-wide. Given their volume, functional annotation of metagenomic sequence datasets requires specialized computational tools/techniques. In spite...

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Detalles Bibliográficos
Autores principales: Bose, Tungadri, Haque, Mohammed Monzoorul, Reddy, CVSK, Mande, Sharmila S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641738/
https://www.ncbi.nlm.nih.gov/pubmed/26561344
http://dx.doi.org/10.1371/journal.pone.0142102

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4641738/
https://www.ncbi.nlm.nih.gov/pubmed/26561344
http://dx.doi.org/10.1371/journal.pone.0142102

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