Abstract
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.
Original language | English |
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Article number | 103 |
Journal | Genome Biology (Online Edition) |
Volume | 21 |
Number of pages | 15 |
ISSN | 1474-7596 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Microbiome
- Metagenomic classifier
- ConClave sorting
- Fungi