This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, seeMACPET.
Bioconductor version: 3.11
The MACPET package can be used for complete interaction analysis for ChIA-PET data. MACPET reads ChIA-PET data in BAM or SAM format and separates the data into Self-ligated, Intra- and Inter-chromosomal PETs. Furthermore, MACPET breaks the genome into regions and applies 2D mixture models for identifying candidate peaks/binding sites using skewed generalized students-t distributions (SGT). It then uses a local poisson model for finding significant binding sites. Finally it runs an additive interaction-analysis model for calling for significant interactions between those peaks. MACPET is mainly written in C++, and it also supports the BiocParallel package.
Author: Ioannis Vardaxis
Maintainer: Ioannis Vardaxis
Citation (from within R, entercitation("MACPET")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MACPET")
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("MACPET")
R Script | MACPET | |
Reference Manual | ||
Text | NEWS |
biocViews | Classification,Clustering,DNA3DStructure,HiC,PeakDetection,Software,StatisticalMethod |
Version | 1.8.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (2.5 years) |
License | GPL-3 |
Depends | R (>= 3.6.1),InteractionSet(>= 1.13.0),bigmemory(>= 4.5.33),BH(>= 1.66.0.1),Rcpp(>= 1.0.1) |
Imports | intervals(>= 0.15.1),plyr(>= 1.8.4),Rsamtools(>= 2.1.3), stats (>= 3.6.1), utils (>= 3.6.1), methods (>= 3.6.1),GenomicRanges(>= 1.37.14),S4Vectors(>= 0.23.17),IRanges(>= 2.19.10),GenomeInfoDb(>= 1.21.1),gtools(>= 3.8.1),GenomicAlignments(>= 1.21.4),knitr(>= 1.23),rtracklayer(>= 1.45.1),BiocParallel(>= 1.19.0),Rbowtie(>= 1.25.0),GEOquery(>= 2.53.0),Biostrings(>= 2.53.2),ShortRead(>= 1.43.0),futile.logger(>= 1.4.3) |
LinkingTo | Rcpp,bigmemory,BH |
Suggests | ggplot2(>= 3.2.0),igraph(>= 1.2.4.1),rmarkdown(>= 1.14),reshape2(>= 1.4.3),BiocStyle(>= 2.13.2) |
SystemRequirements | C++11 |
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Build Report |
Follow2021年欧洲杯比分预测 instructions to use this package in your R session.
Source Package | MACPET_1.8.0.tar.gz |
Windows Binary | MACPET_1.8.0.zip(32- & 64-bit) |
macOS 10.13 (High Sierra) | MACPET_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MACPET |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MACPET |
Package Short Url | //www.andersvercelli.com/packages/MACPET/ |
Package Downloads Report | Download Stats |
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