Text mining and its potential applications in systems biology

Trends Biotechnol. 2006 Dec;24(12):571-9. doi: 10.1016/j.tibtech.2006.10.002. Epub 2006 Oct 12.


With biomedical literature increasing at a rate of several thousand papers per week, it is impossible to keep abreast of all developments; therefore, automated means to manage the information overload are required. Text mining techniques, which involve the processes of information retrieval, information extraction and data mining, provide a means of solving this. By adding meaning to text, these techniques produce a more structured analysis of textual knowledge than simple word searches, and can provide powerful tools for the production and analysis of systems biology models.

Publication types

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

MeSH terms

  • Artificial Intelligence
  • Information Storage and Retrieval / methods*
  • Models, Biological*
  • Natural Language Processing*
  • Publications*
  • Research Design*
  • Systems Biology / methods*