README.md

In nucleosome-dynamics/NucDyn: Nucleosome Dynamics

NucleosomeDynamics

R package aimed at comparing the reads of two MNase-seq experiments for nucleosome positioning and detecting significant inclusions, evictions and shifts.

Installation

1- NucDyn depends on several R packages. To install them run:

 

source("https://bioconductor.org/biocLite.R")
biocLite('nucleR')
biocLite('dplyr')
biocLite('IRanges')
biocLite('GenomicRanges')
biocLite('ShortRead')
biocLite('doParallel')
biocLite('ggplot2')
biocLite('magrittr')

2- Download NucDyn from GitLab.

NucDyn_0.99.0.tar.gz

The package has been developed and tested in R-3.5 (recommended version).

3- Install the package in R:  

install.packages("NucDyn_0.99.0.tar.gz", repos = NULL)

Usage

The main functionalities of NucDyn are performed with the functions

• nucleosomeDynamics: finds differences between the two experiments at the fragment level
• findHotspots: combines fragment level information into hotspots of significant nucleosome changes

An example of usage with the data provided with the package is explained below. For detailed explanation of the data used, how to interpret the results or how to run the functions with other data see the package vignette.

1- Load the package in R  

library(NucDyn)

2- Load the example data for the two experimental conditions (see help for details)  

data(readsG2_chrII)
data(readsM_chrII)

3- Find differenecs at the fragment level  

dyn <- nucleosomeDynamics(setA=readsG2_chrII, setB=readsM_chrII)

4- Combine fragment level results to detect hotspots of nucleosome movements  

findHotspots(dyn, nuc_chrII)

Developers

Diana Buitrago

Ricard Illa

Diego Gallego  

 

Molecular Modeling and Bioinformatics Group.

nucleosome-dynamics/NucDyn documentation built on July 10, 2019, 10:54 a.m.