Computational Methods in Epigenetics

Vanessa Aguiar-Pulido, Victoria Suarez-Ulloa, Jose M. Eirin-Lopez, Javier Pereira, Giri Narasimhan

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Epigenetics is the study of heritable changes in gene expression resulting from modifications in chromatin structure, without involving changes in the genetic information stored in DNA. In addition to their critical role in regulating cell differentiation and development, epigenetic modifications have also been linked to human diseases, most notably cancer. Epigenetic analyses often require the integration of disparate and heterogeneous data, often combining molecular biology and bioinformatic approaches. The fast development of high-throughput sequencing technologies has boosted epigenetic data production dramatically, posing challenges for information management that require innovative and efficient computational approaches. In this chapter, we review the data types most commonly used in epigenetic studies and the computational approaches for their integrative analysis, especially in the field of medicine. Additionally, online data resources and worldwide standardization consortia have established the purpose of optimizing the efficiency of epigenetics, with special emphasis given to the collective efforts in organizing and connecting molecular and clinical information.

Original languageEnglish (US)
Title of host publicationPersonalized Epigenetics
PublisherElsevier Inc.
Pages153-180
Number of pages28
ISBN (Electronic)9780128004364
ISBN (Print)9780124201354
DOIs
StatePublished - Jun 1 2015
Externally publishedYes

Keywords

  • Bioinformatics
  • Computational epigenetics
  • Data enrichment
  • Data integration
  • Data mining
  • Data standardization
  • Epigenetic profiling
  • Knowledge discovery in databases
  • Ontology

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

Fingerprint

Dive into the research topics of 'Computational Methods in Epigenetics'. Together they form a unique fingerprint.

Cite this