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

被引:3
作者
Feichtinger, Julia [1 ,2 ,3 ]
McFarlane, Ramsay J. [1 ,4 ,5 ]
Larcombe, Lee D. [6 ]
机构
[1] Bangor Univ, North West Canc Res Inst, Bangor LL57 2UW, Gwynedd, Wales
[2] Graz Univ Technol, Inst Genom & Bioinformat, A-8010 Graz, Austria
[3] Austrian Ctr Ind Biotechnol, Core Facil Bioinformat, A-8010 Graz, Austria
[4] Bangor Univ, NISCHR Canc Genet Biomed Res Unit, Bangor LL57 2UW, Gwynedd, Wales
[5] Univ Liverpool, Liverpool Canc Res UK Ctr, Liverpool L3 9TA, Merseyside, England
[6] Cranfield Univ, Appl Math & Comp Grp, Cranfield MK43 0AL, Beds, England
来源
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION | 2014年
关键词
EXPRESSED SEQUENCE TAGS; GENE-EXPRESSION; HIGH-THROUGHPUT; META-ANALYSIS; MAGE GENES; IDENTIFICATION; BIOMARKERS; ANTIGENS; MARKERS; TESTIS;
D O I
10.1093/database/bau024
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:8
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