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

Papers: 10.1186/s12920-020-00749-2

https://doi.org/10.1186/s12920-020-00749-2

Analysis of H3K4me3 and H3K27me3 bivalent promotors in HER2+ breast cancer cell lines reveals variations depending on estrogen receptor status and significantly correlates with gene expression

Cited by: 6
Author(s): Damien Kaukonen, Riina Kaukonen, Lélia Polit, Bryan T. Hennessy, Riikka Lund, Stephen F. Madden
Published: about 5 years ago

Software Mentions 4

bioconductor: ChIPseeker
ChIPseeker for ChIP peak Annotation, Comparison, and Visualization
Papers that mentioned: 161
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: TCGAbiolinks
TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data
Papers that mentioned: 276
Very Likely Science (100)
pypi: kmeans
python wrapper for basic c implementation of kmeans
Papers that mentioned: 62
Very Likely Science (65)