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Papers: 10.1186/s12859-020-03739-4

https://doi.org/10.1186/s12859-020-03739-4

MEIRLOP: improving score-based motif enrichment by incorporating sequence bias covariates

Cited by: 5
Author(s): Nathaniel Delos Santos, Lorane Texari, Christopher Benner
Published: almost 5 years ago

Software Mentions 6

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: DiffBind
Differential Binding Analysis of ChIP-Seq Peak Data
Papers that mentioned: 217
Very Likely Science (100)
cran: JASPAR
R modules for JASPAR databases: a collection of transcription factor DNA-binding preferences, modeled as matrices
Papers that mentioned: 1,283
Very Likely Science (75)
pypi: MACS2
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,203
Very Likely Science (100)
pypi: pl
UNKNOWN
Papers that mentioned: 99
Very Likely Science (65)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)