Machine learning and genome annotation: a match meant to be?

Genome Biol. 2013 May 29;14(5):205. doi: 10.1186/gb-2013-14-5-205.

Abstract

By its very nature, genomics produces large, high-dimensional datasets that are well suited to analysis by machine learning approaches. Here, we explain some key aspects of machine learning that make it useful for genome annotation, with illustrative examples from ENCODE.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms
  • Artificial Intelligence*
  • Genome, Human
  • Genomics / methods*
  • Humans
  • Molecular Sequence Annotation / methods*
  • Molecular Sequence Data