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
Author :
Camerlengo, Terry ; Ozer, Hatice Gulcin ; Yan, Pearlly ; Parvin, Jeffrey ; Huang, Tim ; Huang, Kun ; Teng, Mingxiang ; Li, Lang ; Liu, Yunlong ; Perez, Francisco ; Kurc, Tahsin
Author_Institution :
Ohio State Univ., Columbus, OH, USA
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.
Keywords :
genetics; medical information systems; molecular biophysics; GenePattern; QUEST; data analysis tools; database systems; epigenetics research; gene microarrays; high-throughput data; large data depository; web-based analysis platform; Bioinformatics; Biological processes; Data analysis; Database systems; Gene expression; Genomics; Java; Pipelines; Throughput; USA Councils; ChIP-seq; GenePattern; high-throughput database;
Conference_Titel :
Bioinformatics and Biomedicine, 2009. BIBM '09. IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-0-7695-3885-3
DOI :
10.1109/BIBM.2009.84
