| URL: | http://www.cancerest.org.uk |
| Full name: | |
| Description: | CancerEST is an integrated bioinformatic analytical pipeline to automate the identification of novel candidate cancer markers/targets by means of analysing the expression profiles of a user-supplied gene list across publicly-available EST data. |
| Year founded: | 2014 |
| Last update: | 2014-04-07 |
| Version: | v1.0 |
| Accessibility: |
Accessible
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| Country/Region: | United Kingdom |
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| University/Institution: | Bangor University |
| Address: | Bangor,Gwynedd LL57 2UW,UK |
| City: | Bangor |
| Province/State: | |
| Country/Region: | United Kingdom |
| Contact name (PI/Team): | Julia Feichtinger |
| Contact email (PI/Helpdesk): | ia.feichtinger@tugraz.at |
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CancerEST: a web-based tool for automatic meta-analysis of public EST data. [PMID: 24715218]
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. |