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jDMRgrid: a heuristic DMR caller for WGBS data using grid approach

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jDMRgrid

Description

jDMRgrid is an essential tool for conducting efficient and heuristic DMR (Differentially Methylated Region) calling in large-scale epigenomic studies involving population-level analyses and control/treatment experiments. Its functionality relies on a grid-based methodology that involves dividing the genome into sliding windows or bins of customizable sizes. It determines methylation state calls for each individual sliding window based on a Hidden Markov Model (HMM) approach. Subsequently, these calls are consolidated into a matrix format by merging data from all samples. Additionally, user can perform a filtration of DMR matrix to remove non-polymorphic patterns from the merged matrix.

Installing from the Github

To install from GitHub (development version), follow the steps given below.

Step 1 — Install a last version of R (>=3.6)
Step 2 — In R, please install all dependencies and execute the following commands:
install.packages("devtools")
library(devtools)
devtools::install_github("jlaab-code/jDMR")

How to use?

Please open the vignette file.

Contributors

Robert Piecyk - [email protected]
Rashmi Hazarika - [email protected]
Yadi Shahryary - [email protected]
Frank Johannes - [email protected]

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jDMRgrid: a heuristic DMR caller for WGBS data using grid approach

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