Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.3389/fmicb.2019.00806

https://doi.org/10.3389/fmicb.2019.00806

The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes

Cited by: 32
Author(s): Alise J. Ponsero, Bonnie Hurwitz
Published: over 5 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