Journal
COMPARATIVE AND FUNCTIONAL GENOMICS
Volume 3, Issue 3, Pages 226-243Publisher
HINDAWI LTD
DOI: 10.1002/cfg.169
Keywords
microarrays; data mining; experiment management systems; inductive logic programming; reactive oxygen species; drought stress; Pinus taeda; microarray design
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Conception, design, and implementation of cDNA microarray experiments present a variety of bioinformatics challenges for biologists and computational scientists. The multiple stages of data acquisition and analysis have motivated the design of Expresso, a system for microarray experiment management. Salient aspects of Expresso include support for clone replication and randomized placement; automatic gridding, extraction of expression data from each spot, and quality monitoring; flexible methods of combining data from individual spots into information about clones and functional categories; and the use of inductive logic programming for higher-level data analysis and mining. The development of Expresso is occurring in parallel with several generations of microarray experiments aimed at elucidating genomic responses to drought stress in loblolly pine seedlings. The current experimental design incorporates 384 pine cDNAs replicated and randomly placed in two specific microarray layouts. We describe the design of Expresso as well as results of analysis with Expresso that suggest the importance of molecular chaperones and membrane transport proteins in mechanisms conferring successful adaptation to long-term drought stress. Copyright (C) 2002 John Wiley Sons, Ltd.
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