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

Papers: 10.1186/1471-2164-16-S6-S3

https://doi.org/10.1186/1471-2164-16-S6-S3

RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application

Cited by: 54
Author(s): Mattia D’Antonio, Paolo D’Onorio De Meo, Matteo Pallocca, Ernesto Picardi, Anna Maria D’Erchia, Raffaele Calogero, Tiziana Castrignanò, Graziano Pesole
Published: about 10 years ago

Software Mentions 9

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq data
Papers that mentioned: 321
Very Likely Science (100)
cran: RAP
Reversal Association Pattern
Papers that mentioned: 118
Very Likely Science (75)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
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: pipeline
Easy shell-like pipelines, with input from a file-like object
Papers that mentioned: 175
Very Likely Science (65)
pypi: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)