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

Papers: 10.1186/s13059-016-0881-8

https://doi.org/10.1186/s13059-016-0881-8

A survey of best practices for RNA-seq data analysis

Cited by: 1,691
Author(s): Ana Conesa, Pedro Madrigal, Sonia Tarazona, David Gomez-Cabrero, Alejandra Cervera, Andrew McPherson, Michał Wojciech Szcześniak, Daniel J. Gaffney, Laura L. Elo, Xuegong Zhang, A Mortazavi
Published: over 9 years ago

Software Mentions 21

bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count data
Papers that mentioned: 139
Very Likely Science (100)
bioconductor: BitSeq
Papers that mentioned: 28
Unlikely Science (0)
bioconductor: DEGseq
Identify Differentially Expressed Genes from RNA-seq data
Papers that mentioned: 697
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Papers that mentioned: 261
Very Likely Science (100)
bioconductor: EDASeq
Exploratory Data Analysis and Normalization for RNA-Seq
Papers that mentioned: 61
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: GEM
GEM: fast association study for the interplay of Gene, Environment and Methylation
Papers that mentioned: 317
Very Likely Science (73)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: maSigPro
Significant Gene Expression Profile Differences in Time Course Gene Expression Data
Papers that mentioned: 119
Very Likely Science (100)
bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq data
Papers that mentioned: 321
Very Likely Science (100)
bioconductor: RNASeqPower
Sample size for RNAseq studies
Papers that mentioned: 22
Very Likely Science (83)
bioconductor: SeqGSEA
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing
Papers that mentioned: 18
Very Likely Science (100)
cran: COMBAT
A Combined Association Test for Genes using Summary Statistics
Papers that mentioned: 157
Very Likely Science (85)
cran: PoissonSeq
Papers that mentioned: 30
Unlikely Science (0)
cran: SLIDE
Single Cell Linkage by Distance Estimation is SLIDE
Papers that mentioned: 50
Very Likely Science (83)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
cran: SteinerNet
Steiner Tree Approach for Graph Analysis
Papers that mentioned: 6
Very Likely Science (100)
pypi: package
package is a package to package your package
Papers that mentioned: 1,300
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)