| MACPET {MACPET} | R Documentation |
The MACPET package can be used for general analysis of paired-end (PET) data like ChIA-PET.
MACPET currently implements the following four stages: Linker filtering (stage 0), mapping to
the reference genome (stage 1), PET classification (stage 2) and peak-calling (stage 3).
All of the MACPET stages can be run at once, or separately.
In stage 0, MACPET identifies the linkers in the fastq files and classifies the
reads as usable, chimeric or ambiguous. Usable reads are considered in the
subsequent stages. In stage 1, MACPET maps the usable reads to the reference
genome using bowtie and produces a paired-end BAM file. This BAM file is further used in
stage 2 to classify the PETs as self-ligated/intra- or inter-chromosomal.
Self-ligated PETs are used in stage 3 for the identification of significant peaks.
In stage 3, MACPET segments the genome into regions and
applies 2D mixture models for identifying candidate peaks using
skewed generalized students-t distributions (SGT). It then uses a local poisson
model for finding significant binding sites. MACPET is mainly written in C++,
and it supports the BiocParallel package.
MACPETUlt runs the whole analysis at once.
PSelfS4 class for Self-ligated PETs.
PSFitS4 class for Self-ligated PETs after peak-calling.
PInterS4 class for Inter-chromosomal PETs.
PIntraS4 class for Intra-chromosomal PETs.
plotMethod for plotting different objects.
summaryMethod for summarizing different objects.
TagsToGInteractionsMethod for converting Tags to
GInteractions class.
PeaksToGRangesMethod for converting peaks to
GRanges class.
exportPeaksMethod for exporting peaks in cvs file format.
ConvertToPSelfMethod for converting a GInteractions class of
Self-ligated PETs to object of PSelf class.
PeaksToNarrowPeakMethod for converting peaks to narrowPeak (BED) format for use in interaction analysis using the MANGO algorithm.
ConvertToPE_BAMFunction for converting two separate BAM files into one paired-end BAM file.
AnalysisStatisticsPrints summary of multiple objects.
SampleChIAPETData.bamSample ChIA-PET data.
SampleChIAPETDataRead_1.bamFirst reads from the sample ChIA-PET data.
SampleChIAPETDataRead_2.bamSecond reads from the sample ChIA-PET data.
MACPET_pinterData.rdaSample PInter data.
MACPET_pintraData.rdaSample PIntra data.
MACPET_pselfData.rdaSample PSelf data.
MACPET_psfitData.rdaSample PSFit data.
Ioannis Vardaxis, ioannis.vardaxis@ntnu.no
Vardaxis I, Drabløs F, Rye M and Lindqvist BH (2018). MACPET: Model-based Analysis for ChIA-PET. To be published.