title: 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.
abstract: 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.
authors.affiliation: The Ohio State University Columbus, Ohio, USA.
authors.forename: Terry
authors.initials: T
authors.lastname: Camerlengo
authors.forename: Hatice Gulcin
authors.initials: HG
authors.lastname: Ozer
authors.forename: Pearlly
authors.initials: P
authors.lastname: Yan
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Parvin
authors.forename: Tim
authors.initials: T
authors.lastname: Huang
authors.forename: Kun
authors.initials: K
authors.lastname: Huang
authors.forename: Francisco
authors.initials: F
authors.lastname: Perez
authors.forename: Mingxiang
authors.initials: M
authors.lastname: Teng
authors.forename: Lang
authors.initials: L
authors.lastname: Li
authors.forename: Yunlong
authors.initials: Y
authors.lastname: Liu
authors.forename: Tahsin
authors.initials: T
authors.lastname: Kurc