Special issue on data management, analysis, and mining for the life sciences

Special issue on data management, analysis, and mining for the life sciences The VLDB Journal (2005) 14(3): 279–280 DOI 10.1007/s00778-005-0165-5 GUEST E DIT ORIAL Terry Gaasterland · H. V. Jagadish · Louiqa Raschid Special issue on data management, analysis, and mining for the life sciences Published online: 9 September 2005 c Springer-Verlag 2005 During the last decade, biologists have experienced a fun- eight papers for minor or major revision. After a subse- damental revolution from traditional R&D involving the quent review, and lengthy discussions among the reviewers, study of single genes and isolated cellular mechanisms to we identified four papers for inclusion in the special issue, e-biology that addresses whole cell physiology and com- and two papers were recommended for further review by the plex biological systems. This has been accompanied by an journal. The review process was completed in June 2005. A explosion in the number and size of public data resources, brief summary of these four papers follows. and a rapid growth in the variety and volume of labora- Data integration from web accessible bioinformatics tory data from microarrays measuring transcription levels data sources is critical to the success of life science research. simultaneously for hundreds of genes and to protein interac- There are two main approaches to such http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Special issue on data management, analysis, and mining for the life sciences

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Copyright © 2005 by Springer-Verlag
Computer Science; Database Management
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