Papers: 10.1186/s13062-019-0242-0
https://doi.org/10.1186/s13062-019-0242-0
Massive metagenomic data analysis using abundance-based machine learning
Cited by: 27
Author(s): Zachary N. Harris, Eliza Dhungel, Matthew Mosior, Tae-Hyuk Ahn
Published: almost 6 years ago
Software Mentions 1
pypi: MetaPhlAn
MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.Papers that mentioned: 306
Very Likely Science (100)