Comparative analysis of human and mouse CpG islands using dbCGI

Dicle Yalcin, Hasan H Otu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

DNA methylation and histone modifications form the epigenetic code. Cytosine methylation maintains an inactive-condensed chromatin state and is involved in many cellular events such as gene expression, chromosomal stability, cell differentiation, and carcinogenesis. CpG islands (CGIs), which are stretches of DNA in vertebrate organisms with an over-representation of the CpG dinucleotide, are naturally unmethylated and play an important role in gene repression. There is a lack, however, of a CGI database that provides a comprehensive genome-wide analysis of the distribution and annotation of CGIs across organisms. We introduce dbCGI, a web-application that identifies, annotates, and analyzes CGIs. We performed individual genome-wide analysis of human and mouse CGIs in addition to a comparative analysis of the two organisms' CGIs using homologue gene pairs.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages211-216
Number of pages6
ISBN (Electronic)9781509047673
DOIs
StatePublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Publication series

NameIEEE International Conference on Electro Information Technology
ISSN (Print)2154-0357
ISSN (Electronic)2154-0373

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
CountryUnited States
CityLincoln
Period5/14/175/17/17

Fingerprint

Genes
Methylation
Gene expression
DNA

Keywords

  • CpG island
  • annotation
  • epigenetics
  • methylation

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Yalcin, D., & Otu, H. H. (2017). Comparative analysis of human and mouse CpG islands using dbCGI. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 211-216). [8053357] (IEEE International Conference on Electro Information Technology). IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053357

Comparative analysis of human and mouse CpG islands using dbCGI. / Yalcin, Dicle; Otu, Hasan H.

2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 211-216 8053357 (IEEE International Conference on Electro Information Technology).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yalcin, D & Otu, HH 2017, Comparative analysis of human and mouse CpG islands using dbCGI. in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053357, IEEE International Conference on Electro Information Technology, IEEE Computer Society, pp. 211-216, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053357
Yalcin D, Otu HH. Comparative analysis of human and mouse CpG islands using dbCGI. In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 211-216. 8053357. (IEEE International Conference on Electro Information Technology). https://doi.org/10.1109/EIT.2017.8053357
Yalcin, Dicle ; Otu, Hasan H. / Comparative analysis of human and mouse CpG islands using dbCGI. 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. pp. 211-216 (IEEE International Conference on Electro Information Technology).
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