Bioconductor version: Release (3.16)
Preprocessing and smoothing of ChIP-Seq peaks and efficient implementation of the k-mean alignment algorithm to classify them.
Author: Alice Parodi [aut, cre], Marco Morelli [aut, cre], Laura M. Sangalli [aut], Piercesare Secchi [aut], Simone Vantini [aut]
Maintainer: Alice Parodi <alicecarla.parodi at polimi.it>
Citation (from within R,
enter citation("FunChIP")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("FunChIP")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FunChIP")
R Script | An introduction to FunChIP | |
Reference Manual | ||
Text | NEWS |
biocViews | ChIPSeq, Clustering, Software, StatisticalMethod |
Version | 1.24.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (6.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5.0), GenomicRanges |
Imports | shiny, fda, doParallel, GenomicAlignments, Rcpp, methods, foreach, parallel, GenomeInfoDb, Rsamtools, grDevices, graphics, stats, RColorBrewer |
LinkingTo | Rcpp |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | FunChIP_1.24.0.tar.gz |
Windows Binary | FunChIP_1.24.0.zip |
macOS Binary (x86_64) | FunChIP_1.24.0.tgz |
macOS Binary (arm64) | FunChIP_1.24.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/FunChIP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/FunChIP |
Bioc Package Browser | https://code.bioconductor.org/browse/FunChIP/ |
Package Short Url | https://bioconductor.org/packages/FunChIP/ |
Package Downloads Report | Download Stats |
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