Literature DB >> 21151835

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.

Terry Camerlengo1, Hatice Gulcin Ozer, Pearlly Yan, Jeffrey Parvin, Tim Huang, Kun Huang, Francisco Perez, Mingxiang Teng, Lang Li, Yunlong Liu, Tahsin Kurc.   

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.

Entities:  

Year:  2009        PMID: 21151835      PMCID: PMC2998767          DOI: 10.1109/BIBM.2009.84

Source DB:  PubMed          Journal:  Proceedings (IEEE Int Conf Bioinformatics Biomed)        ISSN: 2156-1125


  2 in total

1.  GenePattern 2.0.

Authors:  Michael Reich; Ted Liefeld; Joshua Gould; Jim Lerner; Pablo Tamayo; Jill P Mesirov
Journal:  Nat Genet       Date:  2006-05       Impact factor: 38.330

2.  A Poisson mixture model to identify changes in RNA polymerase II binding quantity using high-throughput sequencing technology.

Authors:  Weixing Feng; Yunlong Liu; Jiejun Wu; Kenneth P Nephew; Tim H M Huang; Lang Li
Journal:  BMC Genomics       Date:  2008-09-16       Impact factor: 3.969

  2 in total
  1 in total

1.  From sequencer to supercomputer: an automatic pipeline for managing and processing next generation sequencing data.

Authors:  Terry Camerlengo; Hatice Gulcin Ozer; Raghuram Onti-Srinivasan; Pearlly Yan; Tim Huang; Jeffrey Parvin; Kun Huang
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2012-03-19
  1 in total

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