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CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data

There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. The pipelin...

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Detalles Bibliográficos
Autores principales: Marcelino, Vanessa R., Clausen, Philip T. L. C., Buchmann, Jan P., Wille, Michelle, Iredell, Jonathan R., Meyer, Wieland, Lund, Ole, Sorrell, Tania C., Holmes, Edward C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189439/
https://www.ncbi.nlm.nih.gov/pubmed/32345331
http://dx.doi.org/10.1186/s13059-020-02014-2
Descripción
Sumario:There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metagenomic classification pipeline named CCMetagen. The pipeline substantially outperforms other commonly used software in identifying bacteria and fungi and can efficiently use the entire NCBI nucleotide collection as a reference to detect species with incomplete genome data from all biological kingdoms. CCMetagen is user-friendly, and the results can be easily integrated into microbial community analysis software for streamlined and automated microbiome studies.