Document Type
Article
Language
eng
Format of Original
18 p.
Publication Date
2002
Publisher
John Wiley and Sons
Source Publication
Comparative and Functional Genomics
Source ISSN
1531-6912
Original Item ID
doi: 10.1002/cfg.169
Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.
Recommended Citation
Heath, Lenwood S.; Ramakrishnan, Naren; Sederoff, Ronald R.; Whetten, Ross W.; Chevone, Boris I.; Struble, Craig; Jouenne, Vincent Y.; Chen, Dawei; Van Zyl, Leonel; and Grene, Ruth, "Studying the Functional Genomics of Stress Responses in Loblolly Pine with the Expresso Microarray Experiment Management System" (2002). Mathematics, Statistics and Computer Science Faculty Research and Publications. 268.
https://epublications.marquette.edu/mscs_fac/268
Comments
Published version. Comparative and Functional Genomics, Vol. 3, No. 3 (2002): 226-243. DOI. © 2002 Wiley. Used with permission.