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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.0153782

https://doi.org/10.1371/journal.pone.0153782

Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools

Cited by: 11
Author(s): Dena Leshkowitz, Ester Feldmesser, Gilgi Friedlander, Ghil Jona, Elena Ainbinder, Yisrael Parmet, Shirley Horn‐Saban
Published: over 9 years ago

Software Mentions 8

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)
cran: MBESS
The MBESS R Package
Papers that mentioned: 59
Very Likely Science (83)
cran: pROC
Display and Analyze ROC Curves
Papers that mentioned: 1,740
Very Likely Science (95)
cran: rsem
Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
Papers that mentioned: 53
Very Likely Science (93)
pypi: bowtie
Interactive Dashboard Toolkit.
Papers that mentioned: 1,566
Very Likely Science (90)
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: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)