CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data.

Journal article

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 poss...

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Authors: Feichtinger, J; McFarlane, R; Larcombe, L

• Journal: Database : the journal of biological databases and curation
• Volume: 2012
• Issue: 0
• Pages: bas055
• Publication date: 2012-01-01
• DOI: 10.1093/database/bas055
• EISSN: 1758-0463
• Language: English
• Keywords: Automation; Workflow; Humans; Oligonucleotide Array Sequence Analysis; Databases, Genetic; User-Computer Interface; Access to Information; Reproducibility of Results; Computational Biology; Neoplasms; Meta-Analysis as Topic; Gene Expression Regulation, Neoplastic; Internet