Paper Info
Title
CancerEST: a web-based tool for automatic meta-analysis of public EST data.
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.
Year
DOI
Venue
2014
10.1093/database/bau024
DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION
Keywords
Field
DocType
database management systems,internet,computational biology,expressed sequence tags
Data mining,Expressed sequence tag,Information retrieval,Computer science,Web application,Bioinformatics,Meta-analysis,Gene expression profiling,The Internet,Diagnostic tools
Journal
Volume
Issue
ISSN
2014
0
1758-0463
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Julia Feichtinger120.73
Ramsay J McFarlane220.73
Lee D Larcombe321.40