Computational RNomics: structure identification and functional prediction of non-coding RNAs in silico

Sci China Life Sci. 2010 May;53(5):548-62. doi: 10.1007/s11427-010-0101-9. Epub 2010 May 23.

Abstract

The eukaryotic genome contains varying numbers of non-coding RNA (ncRNA) genes. "Computational RNomics" takes a multidisciplinary approach, like information science, to resolve the structure and function of ncRNAs. Here, we review the main issues in "Computational RNomics" of data storage and management, ncRNA gene identification and characterization, ncRNA target identification and functional prediction, and we summarize the main methods and current content of "computational RNomics".

Publication types

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

MeSH terms

  • Algorithms
  • Computational Biology*
  • Database Management Systems
  • Databases, Genetic
  • Eukaryota
  • Genomics*
  • Information Storage and Retrieval
  • RNA, Untranslated / chemistry*
  • RNA, Untranslated / physiology*
  • Sequence Analysis, RNA

Substances

  • RNA, Untranslated