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An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13059-017-1299-7

https://doi.org/10.1186/s13059-017-1299-7

Comprehensive benchmarking and ensemble approaches for metagenomic classifiers

Cited by: 235
Author(s): Alexa B. R. McIntyre, Rachid Ounit, Ebrahim Afshinnekoo, Robert J. Prill, Elizabeth Hénaff, Noah Alexander, Samuel S. Minot, David Danko, Jonathan Foox, Sofia Ahsanuddin, Scott Tighe, Nur A. Hasan, Poorani Subramanian, Kelly Moffat, Shawn Levy, Stefano Lonardi, Nick Greenfield, Rita R. Colwell, Gail Rosen, Christopher E. Mason
Published: almost 8 years ago

Software Mentions 5

cran: fasta
Fast Adaptive Shrinkage/Thresholding Algorithm
Papers that mentioned: 848
Very Likely Science (60)
pypi: blast
a simple web-based, multi-platform music/mp3 player written in python, HTML/CSS and javascript
Papers that mentioned: 1,819
Very Likely Science (65)
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.
Papers that mentioned: 848
Very Likely Science (80)
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)
pypi: summarize
A simple summarize tool
Papers that mentioned: 17
Very Likely Science (65)