Skip to content

a statistical framework to detect differences in chromatin contact density at genomic regions of interest

License

Notifications You must be signed in to change notification settings

DominikSzabo1/Meltron

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

83 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MELTRON

a statistical framework to detect differences in chromatin contact density at genomic regions of interest

DOI:10.1038/s41586-021-04081-2

Deposited scripts and files for calculation of melting scores of long genes in oligodendroglia (OLG) from the somatosensory cortex, dopaminergic neurons (DNs) from the midbrain VTA and pyramidal glutamatergic neurons (PGNs) from the hippocampus CA1 relative to embryonic stem cells (ESCs).

Required packages

library(tidyverse)
library(ggpubr)

Available scripts

  • code/MELTRON.R:
    Compares insulation score (IS) distributions over long genes in OLGs, DNs, PGNs to ESCs and calculates melting score per gene.
  • code/plot_ecdf.R:
    Plots empirical cumulative density functions (ECDF) for IS values of individual genes.
  • code/plot_rna_atac_over_meltingScore.R:
    Plots expression and chromatin accessibility as a function of the melting score per cell-type. Density plots with median lines indicate population trends.
  • code/plot_domain_melting_gene_characteristics.R Plots heatmaps and summary violin plots for each of the clusters.

Available command line scripts:

  • command_line_apps/matrix_wide_to_long.R: Converts a square matrix into a long matrix for IS calculation. Accepts wildcards for processing of multiple chromosomes.
  • command_line_apps/long_matrix_to_IS.R: Calculates insulation scores at multiple distances (default 100kb - 1Mb, steps of 100kb).
  • command_line_apps/Meltron.R: Calculation of melting scores over genomic regions of interest

type

Rscript command_line_apps/matrix_wide_to_long.R --help 

for explanations

Developed and tested with R version 3.6.0 Planting of a Tree.
Developed and maintained by Dominik Szabó with intellectual input from Christoph Thieme .
Please get in touch for questions and issues: dominik.szabo at mdc-berlin.de

Please check our manuscript:
Winick-Ng, W., Kukalev, A., Harabula, I., Zea Redondo, L., Szabó, D. et al.:
Cell-type specialization is encoded by specific chromatin topologies

About

a statistical framework to detect differences in chromatin contact density at genomic regions of interest

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages