30. Databases and Tools for Computational Epigenomics

  1. Saura C. Sahu
  1. V. Umashankar1 and
  2. S. Gurunathan2

Published Online: 8 AUG 2012

DOI: 10.1002/9781118349045.ch30

Toxicology and Epigenetics

Toxicology and Epigenetics

How to Cite

Umashankar, V. and Gurunathan, S. (2012) Databases and Tools for Computational Epigenomics, in Toxicology and Epigenetics (ed S. C. Sahu), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118349045.ch30

Editor Information

  1. Division of Toxicology, Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, USA

Author Information

  1. 1

    Center for Bioinformatics, Vision Research Foundation, Sankara Nethralaya, Chennai, India

  2. 2

    Department of Bioinformatics, Faculty of Sciences and Humanities, SRM University, Chennai, India

Publication History

  1. Published Online: 8 AUG 2012
  2. Published Print: 7 SEP 2012

ISBN Information

Print ISBN: 9781119976097

Online ISBN: 9781118349045

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Keywords:

  • databases and tools for computational epigenomics;
  • biological systems, studied at population, cellular, and molecular levels;
  • computational, functional context of genomic and epigenetic;
  • proper epigenomic regulation, cellular differentiation in embryogenesis;
  • HEP, and other epigenome projects, epigenomic from genome sequence;
  • prediction algorithms, statistical models of epigenetic/predictive accuracy;
  • generalized databases for epigenomic studies;
  • post genomic, computer technology, evolutionary/populationary epigenomics

Summary

This chapter contains sections titled:

  • Introduction

  • Epigenetics and computational epigenetics

  • Epigenomics and computational epigenomics

  • Human epigenome project (HEP)

  • Epigenome prediction mechanism

  • Epigenomics databases

  • Tools employed in computational epigenomics

  • Sophisticated algorithms

  • Conclusion

  • References

  • Website references