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

Papers: 10.1038/s41598-018-29506-3

https://doi.org/10.1038/s41598-018-29506-3

Analysis of public RNA-sequencing data reveals biological consequences of genetic heterogeneity in cell line populations

Cited by: 18
Author(s): Erik Fasterius, Cristina Al‐Khalili Szigyarto
Published: about 7 years ago

Software Mentions 4

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GEOquery
Get data from NCBI Gene Expression Omnibus (GEO)
Papers that mentioned: 328
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)