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

Papers: 10.1371/journal.pone.0240895

https://doi.org/10.1371/journal.pone.0240895

RNA-seq analysis identifies cytoskeletal structural genes and pathways for meat quality in beef

Cited by: 9
Author(s): Joel D. Leal-Gutiérrez, Mauricio A. Elzo, Chad Carr, Raluca G. Mateescu
Published: over 4 years ago

Software Mentions 9

bioconductor: DEXSeq
Inference of differential exon usage in RNA-Seq
Papers that mentioned: 226
Very Likely Science (100)
bioconductor: goseq
Gene Ontology analyser for RNA-seq and other length biased data
Papers that mentioned: 132
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
cran: PROSPER
Simulation of Weed Population Dynamics
Papers that mentioned: 126
Very Likely Science (85)
cran: sfsmisc
Utilities from 'Seminar fuer Statistik' ETH Zurich
Papers that mentioned: 22
Likely Science (50)
pypi: 0
0
Papers that mentioned: 1,265
Very Likely Science (65)
pypi: ensembl
Ensembl REST API Client
Papers that mentioned: 212
Very Likely Science (65)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: RSeQC
RNA-seq QC Package
Papers that mentioned: 366
Very Likely Science (80)