/segmenter

Perform Chromatin Segmentation Analysis in R by Calling ChromHMM

Primary LanguageR

Basic Checks Build and Push Docker Image

segmenter

Perform Chromatin Segmentation Analysis in R by Calling ChromHMM

Description

Call chromHMM from within R, capture the output files in an S4 object and interface to other relevant Bioconductor analysis tools. In addition segmenter provides functions to test, select and visualize the output of the segmentation.

Installation

You can install the released version of segmenter from Bioconductor with:

BiocManager::install("segmenter")

or the development version from GitHub with:

remotes::install_github('MahShaaban/segmenter@devel')

Getting started

# load required libraries
library(segmenter)
# locate input and annotation files
inputdir <- system.file('extdata/SAMPLEDATA_HG18',
                        package = 'segmenter')
                        
coordsdir <- system.file('extdata/COORDS',
                         package = 'chromhmmData')
anchorsdir <- system.file('extdata/ANCHORFILES',
                          package = 'chromhmmData')
chromsizefile <- system.file('extdata/CHROMSIZES',
                             'hg18.txt',
                             package = 'chromhmmData')
# run command
obj <- learn_model(inputdir = inputdir,
                   coordsdir = coordsdir,
                   anchorsdir = anchorsdir,
                   chromsizefile = chromsizefile,
                   numstates = 3,
                   assembly = 'hg18',
                   cells = c('K562', 'GM12878'),
                   annotation = 'RefSeq',
                   binsize = 200)
# show the object
show(obj)
# access object slots
emission(obj)
# operate on the object
get_frequency(segments = segment(obj))