Bibliographic Details
| Title: |
CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data |
| Authors: |
Vanessa R. Marcelino, Philip T. L. C. Clausen, Jan P. Buchmann, Michelle Wille, Jonathan R. Iredell, Wieland Meyer, Ole Lund, Tania C. Sorrell, Edward C. Holmes |
| Source: |
Genome Biology, Vol 21, Iss 1, Pp 1-15 (2020) |
| Publisher Information: |
BMC, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Biology (General)
LCC:Genetics |
| Subject Terms: |
Microbiome, Metagenomic classifier, ConClave sorting, Fungi, Biology (General), QH301-705.5, Genetics, QH426-470 |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1474-760X |
| Relation: |
http://link.springer.com/article/10.1186/s13059-020-02014-2; https://doaj.org/toc/1474-760X |
| DOI: |
10.1186/s13059-020-02014-2 |
| Access URL: |
https://doaj.org/article/603ad5e8d3794c12b57c37afbe8c7179 |
| Accession Number: |
edsdoj.603ad5e8d3794c12b57c37afbe8c7179 |
| Database: |
Directory of Open Access Journals |
