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Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2009 Nov 1;1-4(Nov 2009):392-395
Authors: Camerlengo T, Ozer HG, Yan P, Parvin J, Huang T, Huang K, Perez F, Teng M, Li L, Liu Y, Kurc T
Enabling data analysis in large data depositories for high throughput experimental data such as gene microarrays and ChIP-seq is challenging. In this paper, we discuss three methods for integrating QUEST, a data depository for epigenetic experiments, with a web-based data analysis platform GenePattern. These methods are universal and can serve as an exemplary implementation resolving the dilemma facing many similar database systems in integrating data analysis tools.
PMID: 21151835 [PubMed - as supplied by publisher]
More...
Enabling Data Analysis on High-Throughput Data in Large Data Depository Using Web-Based Analysis Platform - A Case Study on Integrating QUEST with GenePattern in Epigenetics Research.
Proceedings (IEEE Int Conf Bioinformatics Biomed). 2009 Nov 1;1-4(Nov 2009):392-395
Authors: Camerlengo T, Ozer HG, Yan P, Parvin J, Huang T, Huang K, Perez F, Teng M, Li L, Liu Y, Kurc T
Enabling data analysis in large data depositories for high throughput experimental data such as gene microarrays and ChIP-seq is challenging. In this paper, we discuss three methods for integrating QUEST, a data depository for epigenetic experiments, with a web-based data analysis platform GenePattern. These methods are universal and can serve as an exemplary implementation resolving the dilemma facing many similar database systems in integrating data analysis tools.
PMID: 21151835 [PubMed - as supplied by publisher]
More...
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