@inproceedings{837b31965559473f8242f9c73a62b009,
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.",
keywords = "ChIP-seq, GenePattern, High-throughput database",
author = "Terry Camerlengo and Ozer, {Hatice Gulcin} and Pearlly Yan and Jeffrey Parvin and Tim Huang and Kun Huang and Mingxiang Teng and Lang Li and Yunlong Liu and Francisco Perez and Tahsin Kurc",
year = "2009",
doi = "10.1109/BIBM.2009.84",
language = "English (US)",
isbn = "9780769538853",
series = "2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009",
pages = "392--395",
booktitle = "2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009",
note = "2009 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2009 ; Conference date: 01-11-2009 Through 04-11-2009",
}