Papers: 10.1186/s13059-019-1847-4
https://doi.org/10.1186/s13059-019-1847-4
RegSNPs-intron: a computational framework for predicting pathogenic impact of intronic single nucleotide variants
Cited by: 43
Author(s): Hai Lin, Katherine A. Hargreaves, Rudong Li, Jill L. Reiter, Yue Wang, Matthew Mort, David Neil Cooper, Yaoqi Zhou, Chi Zhang, Michael T. Eadon, M. Eileen Dolan, Joseph Ipe, Todd C. Skaar, Yunlong Liu
Published: over 5 years ago
Software Mentions 3
bioconductor: ASSET
An R package for subset-based association analysis of heterogeneous traits and subtypesPapers that mentioned: 72
Very Likely Science (100)
cran: JASPAR
R modules for JASPAR databases: a collection of transcription factor DNA-binding preferences, modeled as matricesPapers that mentioned: 1,283
Very Likely Science (75)
pypi: cutadapt
Adapter trimming and other preprocessing of high-throughput sequencing readsPapers that mentioned: 1,562
Very Likely Science (100)