Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.12688/f1000research.15398.3

https://doi.org/10.12688/f1000research.15398.3

Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification

Cited by: 53
Author(s): Michael I. Love, Charlotte Soneson, Rob Patro
Published: about 6 years ago

Software Mentions 16

bioconductor: BitSeq
Papers that mentioned: 28
bioconductor: countsimQC
Compare Characteristic Features of Count Data Sets
Papers that mentioned: 6
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
bioconductor: DEXSeq
Inference of differential exon usage in RNA-Seq
Papers that mentioned: 226
bioconductor: DRIMSeq
Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq
Papers that mentioned: 17
bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Papers that mentioned: 261
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
bioconductor: iCOBRA
Comparison and Visualization of Ranking and Assignment Methods
Papers that mentioned: 5
bioconductor: IsoformSwitchAnalyzeR
Identify, Annotate and Visualize Isoform Switches with Functional Consequences from both short- and long-read RNA-seq data
Papers that mentioned: 16
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
bioconductor: SGSeq
Splice event prediction and quantification from RNA-seq data
Papers that mentioned: 14
bioconductor: stageR
stageR: stage-wise analysis of high throughput gene expression data in R
Papers that mentioned: 6
bioconductor: tximport
Import and summarize transcript-level estimates for transcript- and gene-level analysis
Papers that mentioned: 367
cran: samr
SAM: Significance Analysis of Microarrays
Papers that mentioned: 114
pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.
Papers that mentioned: 307
pypi: sleuth

Papers that mentioned: 59