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

Papers: 10.1186/1471-2105-15-224

https://doi.org/10.1186/1471-2105-15-224

MAP-RSeq: Mayo Analysis Pipeline for RNA sequencing

Cited by: 275
Author(s): Krishna R. Kalari, Asha Nair, Jaysheel Bhavsar, Daniel R. O’Brien, Jaime Davila, Matthew A. Bockol, Jinfu Nie, Xiaojia Tang, Saurabh Baheti, Jay B. Doughty, Sumit Middha, Hugues Sicotte, E. Aubrey Thompson, Yan W. Asmann, Jean-Pierre A. Kocher
Published: about 11 years ago

Software Mentions 8

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: MAP
Multimodal Automated Phenotyping
Papers that mentioned: 215
Very Likely Science (75)
pypi: Circos
Circos plots in Python!
Papers that mentioned: 2,252
Very Likely Science (100)
pypi: Cython
The Cython compiler for writing C extensions in the Python language.
Papers that mentioned: 118
Very Likely Science (100)
pypi: g
cli command to easily sync current directory
Papers that mentioned: 130
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)
pypi: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)