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Papers: 10.1371/journal.pone.0251032

https://doi.org/10.1371/journal.pone.0251032

Unsupervised tensor decomposition-based method to extract candidate transcription factors as histone modification bookmarks in post-mitotic transcriptional reactivation

Cited by: 2
Author(s): Y-h. Taguchi, Turki Turki
Published: over 5 years ago

Software Mentions 8

bioconductor: ChIPComp
Quantitative comparison of multiple ChIP-seq datasets
Papers that mentioned: 3
Very Likely Science (98)
bioconductor: csaw
ChIP-Seq Analysis with Windows
Papers that mentioned: 29
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: DiffBind
Differential Binding Analysis of ChIP-Seq Peak Data
Papers that mentioned: 217
Very Likely Science (100)
cran: Select
Determines Species Probabilities Based on Functional Traits
Papers that mentioned: 64
Very Likely Science (75)
pypi: MACS
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,233
Very Likely Science (75)
pypi: MACS2
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,203
Very Likely Science (100)
pypi: MAnorm
A robust model for quantitative comparison of ChIP-Seq data sets
Papers that mentioned: 42
Very Likely Science (80)