This is thedevelopmentversion of ChIC; for the stable release version, seeChIC.
Bioconductor version: Development (3.16)
Quality control (QC) pipeline for ChIP-seq data using a comprehensive set of QC metrics, including previously proposed metrics as well as novel ones, based on local characteristics of the enrichment profile. The package provides functions to calculate a set of QC metrics, a compendium with reference values and machine learning models to score sample quality.
Author: Carmen Maria Livi
Maintainer: Carmen Maria Livi
Citation (from within R, entercitation("ChIC")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("ChIC")
For older versions of R, please refer to the appropriateBioconductor release.
查看文档的版本包age installed in your system, start R and enter:
browseVignettes("ChIC")
R Script | ChIC | |
Reference Manual |
biocViews | ChIPSeq,QualityControl,Software |
Version | 1.17.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (4.5 years) |
License | GPL-2 |
Depends | spp, R (>= 3.6) |
Imports | ChIC.data(>= 1.11.1),caTools, methods,GenomicRanges,IRanges, parallel,progress,randomForest,caret, grDevices, stats, utils, graphics,S4Vectors,BiocGenerics,genomeIntervals,Rsamtools |
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Followbob 体育网址 instructions to use this package in your R session.
Source Package | ChIC_1.17.0.tar.gz |
Windows Binary | |
macOS 10.13 (High Sierra) | ChIC_1.17.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/ChIC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/ChIC |
Package Short Url | //www.anjoumacpherson.com/packages/ChIC/ |
Package Downloads Report | Download Stats |
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