DocumentCode :
636254
Title :
EpiDiff: Entropy-based quantitative identification of differential epigenetic modification regions from epigenomes
Author :
Yan Zhang ; Jangzhong Su ; Di Yu ; Qiong Wu ; Haidan Yan
Author_Institution :
Coll. of Bioinf. Sci. & Technol., Harbin Med. Univ., Harbin, China
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
655
Lastpage :
658
Abstract :
Genome-wide epigenetic modification dynamics, including DNA methylation and chromatin modification, are involved in biological processes such as development, aging, and disease. Quantitative identification of differential epigenetic modification regions (DEMRs) from various temporal and spatial epigenomes is a crucial step towards investigating the relationship between epigenotype and phenotype. Here, we describe EpiDiff (http://bioinfo.hrbmu.edu.cn/epidiff/), an integrated software platform that supports quantification of epigenetic difference and identification of DEMRs by Shannon entropy. Two main modules, quantitative differential chromatin modification region (QDCMR) and quantitative differentially methylated region (QDMR) are provided for bioinformatic analysis of chromatin modifications and DNA methylation data, respectively. The third module, quantitative differential expressed gene (QDEG), can be used to identify differentially expressed genes. The platform-free and species-free nature of EpiDiff makes it potentially applicable to a wide variety of epigenomes at an unprecedented scale and resolution. The graphical user interface provides biologists with a practicable and reliable way to analyze and visualize epigenetic difference.
Keywords :
DNA; biochemistry; bioinformatics; entropy; genetics; genomics; graphical user interfaces; integrated software; molecular biophysics; proteins; DNA methylation data; EpiDiff; Shannon entropy; bioinformatic analysis; biological processes; chromatin modification; differential epigenetic modification regions; disease; entropy-based quantitative identification; epigenetic difference; epigenetic identification; genome-wide epigenetic modification dynamics; graphical user interface; integrated software platform; quantitative differential chromatin modification region; quantitative differential expressed gene; quantitative differential methylated region; quantitative identification; Bioinformatics; DNA; Data visualization; Educational institutions; Entropy; Gene expression; Genomics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609585
Filename :
6609585
Link To Document :
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