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

Papers: 10.1038/s41598-020-74567-y

https://doi.org/10.1038/s41598-020-74567-y

Impact of RNA-seq data analysis algorithms on gene expression estimation and downstream prediction

Cited by: 11
Author(s): Tong Li, Po-Yen Wu, John H. Phan, Hamid R Hassazadeh, Weida Tong, May D. Wang
Published: almost 5 years ago

Software Mentions 6

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: MASS
Support Functions and Datasets for Venables and Ripley's MASS
Papers that mentioned: 2,353
Very Likely Science (100)
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: TopHat
TopHat Platform
Papers that mentioned: 5,017
Very Likely Science (90)