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Database management for life sciences research
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Volume 33 ,  Issue 2  (June 2004) table of contents
SPECIAL ISSUE: Data engineering for life sciences table of contents
Pages: 15 - 20  
Year of Publication: 2004
ISSN:0163-5808
Authors
H. V. Jagadish  University of Michigan
Frank Olken  Lawrence Berkeley National Laboratory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 32,   Citation Count: 3
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ABSTRACT

The life sciences provide a rich application domain for data management research, with a broad diversity of problems that can make a significant difference to progress in life sciences research. This article is an extract from the Report of the NSF Workshop on Data Management for Molecular and Cell Biology, edited by H. V. Jagadish and Frank Olken. The workshop was held at the National Library of Medicine, Bethesda, MD, Feb. 2-3, 2003.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Workshop on Data Management for Molecular and Cell Biology, web site. <u>http://www.lbl.gov/~olken/wdmbio/</u>
 
2
Data Management for Integrative Biology, Special Issue of the OMICS Journal, vol. 7, no. 1, Jul. 2003.

Collaborative Colleagues:
H. V. Jagadish: colleagues
Frank Olken: colleagues