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.
Year
DOI
Venue
2009
10.1109/BIBM.2009.84
BIBM
Keywords
Field
DocType
similar database system,high-throughput data,large data depository,enabling data analysis,case study,web-based data analysis platform,data depository,web-based analysis platform,exemplary implementation,gene microarrays,data analysis tool,high throughput experimental data,epigenetic experiment,database systems,data analysis,high throughput,chip seq,molecular biophysics,bioinformatics,servers,database system,chip,data mining,biomedical research,genetics,pipelines
Data science,Analysis tools,Experimental data,Computer science,Server,Throughput,Bioinformatics,Web application
Conference
Volume
Issue
ISSN
1-4
Nov 2009
2156-1125
Citations 
PageRank 
References 
0
0.34
0
Authors
11
Name
Order
Citations
PageRank
Terry Camerlengo101.01
Hatice Gulcin Ozer2324.02
Pearlly Yan3824.28
Jeffrey Parvin4141.51
Tim Huang500.34
Kun Huang653061.18
Francisco Perez700.34
Mingxiang Teng800.34
Lang Li901.01
Yunlong Liu1000.34
Tahsin M. Kurç111423149.77