Fersiynau electronig

Dangosydd eitem ddigidol (DOI)

The identification of novel candidate markers is a key challenge in the development of cancer therapies. This can be facilitated by putting accessible and automated approaches analysing the current wealth of 'omic'-scale data in the hands of researchers who are directly addressing biological questions. Data integration techniques and standardized, automated, high-throughput analyses are needed to manage the data available as well as to help narrow down the excessive number of target gene possibilities presented by modern databases and system-level resources. Here we present CancerMA, an online, integrated bioinformatic pipeline for automated identification of novel candidate cancer markers/targets; it operates by means of meta-analysing expression profiles of user-defined sets of biologically significant and related genes across a manually curated database of 80 publicly available cancer microarray datasets covering 13 cancer types. A simple-to-use web interface allows bioinformaticians and non-bioinformaticians alike to initiate new analyses as well as to view and retrieve the meta-analysis results. The functionality of CancerMA is shown by means of two validation datasets.
Iaith wreiddiolSaesneg
Rhif yr erthyglbas055
CyfnodolynDatabase: The Journal of Biological Databases and Curation
Cyfrol2012
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 15 Rhag 2012
Gweld graff cysylltiadau