Package: MACPET
Type: Package
Title: Model based analysis for paired-end data
Version: 1.14.0
Date: 2019-03-30
Author: Ioannis Vardaxis
Maintainer: Ioannis Vardaxis <iova89@hotmail.com>
Description: 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.
License: GPL-3
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 6.1.1
biocViews: Software, DNA3DStructure, PeakDetection, StatisticalMethod,
        Clustering, Classification, HiC
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)
Suggests: ggplot2 (>= 3.2.0), igraph (>= 1.2.4.1), rmarkdown (>= 1.14),
        reshape2 (>= 1.4.3), BiocStyle (>= 2.13.2)
VignetteBuilder: knitr
LinkingTo: Rcpp, bigmemory, BH
SystemRequirements: C++11
Collate: 'ALLData.R' 'AllClasses.R' 'AnalysisStatistics.R'
        'ConvertToPE_BAM.R' 'ConvertToPSelf-methods.R'
        'GetShortestPath-methods.R' 'GetSignInteractions-methods.R'
        'InputChecks.R' 'MACPETUlt.R' 'MACPET_pkg.R'
        'PeaksToGRanges-methods.R' 'PeaksToNarrowPeak-methods.R'
        'RcppExports.R' 'Stage_0_FilteringLinkersFunctions.R'
        'Stage_1_MappingFunctions.R'
        'Stage_2_PETClassificationFunctions.R'
        'Stage_3_PeakFinderFunctions.R'
        'Stage_4_InteractionsFunctions.R'
        'TagsToGInteractions-methods.R' 'exportPeaks-methods.R'
        'plot-methods.R' 'summary-methods.R'
git_url: https://git.bioconductor.org/packages/MACPET
git_branch: RELEASE_3_14
git_last_commit: d1b9a5c
git_last_commit_date: 2021-10-26
Date/Publication: 2021-10-26
NeedsCompilation: yes
Packaged: 2021-10-27 02:21:08 UTC; biocbuild
Built: R 4.1.1; i386-w64-mingw32; 2021-10-27 11:47:34 UTC; windows
Archs: i386, x64
