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

Genome Biol

Marie Bashir Institute for Infectious Diseases and Biosecurity and Faculty of Medicine and Health, Sydney Medical School, Westmead Clinical School, The University of Sydney, Sydney, NSW, 2006, Australia.

Published: April 2020

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189439PMC
http://dx.doi.org/10.1186/s13059-020-02014-2DOI Listing

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