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Feichtinger, J; McFarlane, RJ; Larcombe, LD.
CancerEST: a web-based tool for automatic meta-analysis of public EST data.
Database (Oxford). 2014; 2014(0): bau024-bau024. Doi: 10.1093/database/bau024 [OPEN ACCESS]
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Führende Autor*innen der Med Uni Graz
Feichtinger Julia
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Abstract:
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: http://www.cancerest.org.uk.
Find related publications in this database (using NLM MeSH Indexing)
Computational Biology - methods
Database Management Systems -
Databases, Genetic -
Expressed Sequence Tags -
Humans -
Information Storage and Retrieval -
Internet -
Neoplasms - genetics
Neoplasms - metabolism

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