Skip to content

EpiStemNet/Others

Repository files navigation

Others

ChromHMM analysis

contact: ecarrillo@cnio.es Enrique Carrillo de Santa Pau Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3 28029 Madrid, Spain.

ChomHMM software v1.03

##Files used:

  1. BAM files were converted to BED files

We used bedtools v2.18.2 with the function bedtobam

  1. BINARIZE HISTONE, CYTOSINE MODIFICATIONS AND CTCF DATA

java -mx20G -jar ChromHMM.jar BinarizeBed -c ~/Documents/Histones/Inputs/ ~/.lib/ChromHMM/CHROMSIZES/mm9.txt ~/Documents/Histones/ChromHmm/ ~/Documents/Histones/mESC_chromHmm_CTCF.txt ~/Documents/Histones/ChromHmm/BINARIZED_CTCF

  1. BINARIZE CHROMATIN MODIFIERS DATA

java -mx20G -jar ChromHMM.jar BinarizeBed -c ~/Documents/Chrom_modifiers/Inputs/ ~/.lib/ChromHMM/CHROMSIZES/mm9.txt ~/Documents/Chrom_modifiers/ ~/Documents/Chrom_modifiers/mESC_chromMod_ChromHmm.txt ~/Documents/Chrom_modifiers/BINARIZED

  1. LEARNMODEL WITH HISTONE, CYTOSINE MODIFICATIONS AND CTCF DATA

java -mx20G -jar ChromHMM.jar LearnModel -i mESC -l CHROMSIZES/mm9.txt -printposterior -printstatebyline ~/Documents/Histones/ChromHmm/BINARIZED_CTCF ~/Documents/Histones/ChromHmm/RESULTS/Learnmodel_20_CTCF 20 mm9

Only the intervals with a probability higher than 0.95 were considered for further analysis.

  1. ENRICHMENT PROBABILITIES FOR HISTONE, CYTOSINE MODIFICATIONS AND CTCF DATA

java -mx20G -jar ChromHMM.jar OverlapEnrichment ~/Documents/Histones/ChromHmm/RESULTS/Learnmodel_20_CTCF/ESC_20_mESC_all_chrs_0-95_posterior.txt ~/Documents/Histones/ChromHmm/BINARIZED_CTCF/peaks ~/Documents/Histones/ChromHmm/RESULTS/Learnmodel_20_CTCF/enrichment_20_CTCF_0_95_histones

  1. ENRICHMENT PROBABILITIES FOR CHROMATIN MODIFIERS DATA

java -mx20G -jar ChromHMM.jar OverlapEnrichment ~/Documents/Histones/ChromHmm/RESULTS/Learnmodel_20_CT

ChromNets analysis

contact: dadejuan@cnio.es David de Juan. Structural Biology and BioComputing Programme, Spanish National Cancer Research Center - CNIO, Melchor Fernandez Almagro 3 28029 Madrid, Spain.

##Files used:

Required software

Extract ChromNets from a co-location network and genome-wide location data for every epigenetic feature and chromatin states

Rscript get_chromnets.R ColocationNetwork.txt CrPs_and_hM_cM_peaks_in_0-95_probability_segments.txt <output_file>

or

Rscript get_chromnets.R ColocationNetwork.txt CrPs_and_hM_cM_peaks_in_0-95_probability_segments.txt <output_file> <pvalue>

About

Code used for the rest of the analyses described in Juan et al (http://dx.doi.org/10.1016/j.celrep.2016.01.008)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages