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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
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- Führende Autor*innen der Med Uni Graz
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Feichtinger Julia
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- Abstract:
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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.
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Computational Biology - methods
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Database Management Systems -
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Databases, Genetic -
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Expressed Sequence Tags -
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Information Storage and Retrieval -
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Internet -
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Neoplasms - genetics
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Neoplasms - metabolism