Article ; Online: expam-high-resolution analysis of metagenomes using distance trees.
Bioinformatics (Oxford, England)
2022 Volume 38, Issue 20, Page(s) 4814–4816
Abstract: Summary: Shotgun metagenomic sequencing provides the capacity to understand microbial community structure and function at unprecedented resolution; however, the current analytical methods are constrained by a focus on taxonomic classifications that may ... ...
Abstract | Summary: Shotgun metagenomic sequencing provides the capacity to understand microbial community structure and function at unprecedented resolution; however, the current analytical methods are constrained by a focus on taxonomic classifications that may obfuscate functional relationships. Here, we present expam, a tree-based, taxonomy agnostic tool for the identification of biologically relevant clades from shotgun metagenomic sequencing. Availability and implementation: expam is an open-source Python application released under the GNU General Public Licence v3.0. expam installation instructions, source code and tutorials can be found at https://github.com/seansolari/expam. Supplementary information: Supplementary data are available at Bioinformatics online. |
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MeSH term(s) | Metagenome ; Metagenomics/methods ; Microbiota/genetics ; Software |
Language | English |
Publishing date | 2022-08-27 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 1422668-6 |
ISSN | 1367-4811 ; 1367-4803 |
ISSN (online) | 1367-4811 |
ISSN | 1367-4803 |
DOI | 10.1093/bioinformatics/btac591 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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