CancerEST: a web-based tool for automatic meta-analysis of public EST data

Database (Oxford). 2014 Apr 7;2014(0):bau024. doi: 10.1093/database/bau024. Print 2014.


The identification of cancer-restricted biomarkers is fundamental to the development of novel cancer therapies and diagnostic tools. The construction of comprehensive profiles to define tissue- and cancer-specific gene expression has been central to this. To this end, the exploitation of the current wealth of 'omic'-scale databases can be facilitated by automated approaches, allowing researchers to directly address specific biological questions. Here we present CancerEST, a user-friendly and intuitive web-based tool for the automated identification of candidate cancer markers/targets, for examining tissue specificity as well as for integrated expression profiling. CancerEST operates by means of constructing and meta-analyzing expressed sequence tag (EST) profiles of user-supplied gene sets across an EST database supporting 36 tissue types. Using a validation data set from the literature, we show the functionality and utility of CancerEST. DATABASE URL:

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Database Management Systems*
  • Databases, Genetic*
  • Expressed Sequence Tags*
  • Humans
  • Information Storage and Retrieval
  • Internet*
  • Neoplasms* / genetics
  • Neoplasms* / metabolism