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Papers: 10.1371/journal.pcbi.1003706

https://doi.org/10.1371/journal.pcbi.1003706

Metagenomic Data Utilization and Analysis (MEDUSA) and Construction of a Global Gut Microbial Gene Catalogue

Cited by: 54
Author(s): Fredrik Karlsson, Intawat Nookaew, Jens Nielsen
Published: about 12 years ago

Software Mentions 7

bioconductor: GEM
GEM: fast association study for the interplay of Gene, Environment and Methylation
Papers that mentioned: 317
Very Likely Science (73)
cran: ade4
Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Papers that mentioned: 809
Very Likely Science (85)
pypi: fastx
Just a simple kseq.h binding
Papers that mentioned: 197
Very Likely Science (65)
pypi: linux
Papers that mentioned: 450
Very Likely Science (65)
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: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: velvet
Beautiful signal processing and communications algorithms in Python
Papers that mentioned: 156
Very Likely Science (90)