Registration and Call for Abstracts Open for Bioc2024

ChIPanalyser

This is the development version of ChIPanalyser; for the stable release version, see ChIPanalyser.

ChIPanalyser: Predicting Transcription Factor Binding Sites


Bioconductor version: Development (3.19)

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, enter citation("ChIPanalyser")):

Installation

To install this package, start R (version "4.4") 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.

Documentation

Reference Manual PDF

Details

biocViews Alignment, BiologicalQuestion, ChIPSeq, ChipOnChip, Coverage, DataImport, PeakDetection, SequenceMatching, Sequencing, Software, Transcription, WorkflowStep
Version 1.25.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 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
Suggests BSgenome.Dmelanogaster.UCSC.dm6, knitr, RUnit, BiocGenerics
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/ChIPanalyser
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ChIPanalyser
Package Short Url https://bioconductor.org/packages/ChIPanalyser/
Package Downloads Report Download Stats