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Data Integration for Dynamic and Sustainable Systems Biology Resources: Challenges and Lessons Learned

  1. Daniel E. Sullivan1,
  2. Joseph L. Gabbard Jr.2,
  3. Maulik Shukla1,
  4. Bruno Sobral1

Article first published online: 20 MAY 2010

DOI: 10.1002/cbdv.200900317

Issue

Chemistry & Biodiversity

Chemistry & Biodiversity

Special Issue: Systems Biology in the Microbial World and Beyond

Volume 7, Issue 5, pages 1124–1141, May 2010

Additional Information

How to Cite

Sullivan, Daniel E., Gabbard, Joseph L., Shukla, M. and Sobral, B. (2010), Data Integration for Dynamic and Sustainable Systems Biology Resources: Challenges and Lessons Learned. Chemistry & Biodiversity, 7: 1124–1141. doi: 10.1002/cbdv.200900317

Author Information

  1. 1

    CyberInfrastructure Section, Virginia Bioinformatics Institute, Washington Street, MC 0477, Virginia Tech, Blacksburg, Virginia 24061, USA (phone: +1-540-231-2100; fax: +1-540-231-2606)

  2. 2

    Center for Human-Computer Interaction, 2202 Kraft Drive, Virginia Tech, Blacksburg, Virginia 24060, USA (phone: +1-540-231-3188; fax: +1-540-231-6075)

Publication History

  1. Issue published online: 20 MAY 2010
  2. Article first published online: 20 MAY 2010
  3. Manuscript Received: 1 SEP 2009

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Keywords:

  • Systems biology;
  • Infectious diseases;
  • Data integration;
  • Bioinformatics

Abstract

Systems-biology and infectious-disease (host–pathogen–environment) research and development is becoming increasingly dependent on integrating data from diverse and dynamic sources. Maintaining integrated resources over long periods of time presents distinct challenges. This review describes experiences and lessons learned from integrating data in two five-year projects focused on pathosystems biology: the Pathosystems Resource Integration Center (PATRIC, http://patric.vbi.vt.edu/), with a goal of developing bioinformatics resources for the research and countermeasures-development communities based on genomics data, and the Resource Center for Biodefense Proteomics Research (RCBPR, http://www.proteomicsresource.org/), with a goal of developing resources based on the experiment data such as microarray and proteomics data from diverse sources and technologies. Some challenges include integrating genomic sequence and experiment data, data synchronization, data quality control, and usability engineering. We present examples of a variety of data-integration problems drawn from our experiences with PATRIC and RBPRC, as well as open research questions related to long-term sustainability, and describe the next steps to meeting these challenges. Novel contributions of this work include 1) an approach for addressing discrepancies between experiment results and interpreted results, and 2) expanding the range of data-integration techniques to include usability engineering at the presentation level.

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