This is the development version of ChIPanalyser; for the stable release version, see ChIPanalyser.
ChIPanalyser: Predicting Transcription Factor Binding SitesBioconductor version: Development (3.22)
ChIPanalyser is a package to predict and understand TF binding by utilizing a statistical thermodynamic model. The model incorporates 4 main factors thought to drive TF binding: Chromatin State, Binding energy, Number of bound molecules and a scaling factor modulating TF binding affinity. Taken together, ChIPanalyser produces ChIP-like profiles that closely mimic the patterns seens in real ChIP-seq data.
Author: Patrick C.N.Martin & Nicolae Radu Zabet
Maintainer: Patrick C.N. Martin <pcnmartin at gmail.com>
Citation (from within R, entercitation("ChIPanalyser")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("ChIPanalyser")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ChIPanalyser")
Details biocViews Alignment, BiologicalQuestion, ChIPSeq, ChipOnChip, Coverage, DataImport, PeakDetection, SequenceMatching, Sequencing, Software, Transcription, WorkflowStep Version 1.31.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 years) License GPL-3 Depends R (>= 3.5.0), GenomicRanges, Biostrings, BSgenome, RcppRoll, parallel Imports methods, IRanges, S4Vectors, grDevices, graphics, stats, utils, rtracklayer, ROCR, BiocManager, GenomeInfoDb, RColorBrewer System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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