Papers: 10.1186/s13072-016-0095-z
https://doi.org/10.1186/s13072-016-0095-z
EpiMINE, a computational program for mining epigenomic data
Cited by: 11
Author(s): Sri Ganesh Jammula, Diego Pasini
Published: almost 9 years ago
Software Mentions 23
bioconductor: ChIPpeakAnno
Batch annotation of the peaks identified from either ChIP-seq, ChIP-chip experiments or any experiments resulted in large number of chromosome rangesPapers that mentioned: 145
Very Likely Science (76)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: DiffBind
Differential Binding Analysis of ChIP-Seq Peak DataPapers that mentioned: 217
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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cran: bnlearn
Bayesian Network Structure Learning, Parameter Learning and InferencePapers that mentioned: 113
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cran: FactoMineR
Multivariate Exploratory Data Analysis and Data MiningPapers that mentioned: 1,101
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cran: fastcluster
Fast Hierarchical Clustering Routines for R and 'Python'Papers that mentioned: 36
Very Likely Science (75)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of GraphicsPapers that mentioned: 11,441
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pypi: bnlearn
Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.Papers that mentioned: 113
Very Likely Science (90)
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