ALEA: a toolbox for allele-specific epigenomics analysis

نویسندگان

  • Hamid Younesy
  • Torsten Möller
  • Alireza Heravi Moussavi
  • Jeffrey B. Cheng
  • Joseph F. Costello
  • Matthew C. Lorincz
  • Mohammad M. Karimi
  • Steven J. M. Jones
چکیده

The assessment of expression and epigenomic status using sequencing based methods provides an unprecedented opportunity to identify and correlate allelic differences with epigenomic status. We present ALEA, a computational toolbox for allele-specific epigenomics analysis, which incorporates allelic variation data within existing resources, allowing for the identification of significant associations between epigenetic modifications and specific allelic variants in human and mouse cells. ALEA provides a customizable pipeline of command line tools for allele-specific analysis of next-generation sequencing data (ChIP-seq, RNA-seq, etc.) that takes the raw sequencing data and produces separate allelic tracks ready to be viewed on genome browsers. The pipeline has been validated using human and hybrid mouse ChIP-seq and RNA-seq data. AVAILABILITY The package, test data and usage instructions are available online at http://www.bcgsc.ca/platform/bioinfo/software/alea CONTACT: : [email protected] or [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.

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عنوان ژورنال:
  • Bioinformatics

دوره 30 8  شماره 

صفحات  -

تاریخ انتشار 2014