Data

Tools

Indexes

Applications

Experiments

Papers

Papers: 10.1371/journal.pone.0089323

https://doi.org/10.1371/journal.pone.0089323

Parallel-META 2.0: Enhanced Metagenomic Data Analysis with Functional Annotation, High Performance Computing and Advanced Visualization

Cited by: 60
Author(s): Xiaoquan Su, Weihua Pan, Baoxing Song, Jian Xu, Kang Ning
Published: over 12 years ago

Software Mentions 5

bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry data
Papers that mentioned: 429
Very Likely Science (75)
cran: RDP
The Ramer-Douglas-Peucker Algorithm
Papers that mentioned: 1,243
Very Likely Science (85)
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: Silva
Silva Content Management System
Papers that mentioned: 445
Likely Science (40)
pypi: view
Amazing RestAPI Wrapper!
Papers that mentioned: 76
Very Likely Science (65)