You are here:
A BIOINFORMATIC STRATEGY TO RAPIDLY CHARACTERIZE CDNA LIBRARIES
Ostermeier, G. C., D J. Dix, AND S. A. Krawetz. A BIOINFORMATIC STRATEGY TO RAPIDLY CHARACTERIZE CDNA LIBRARIES. BIOINFORMATICS 18(7):949-952, (2002).
A Bioinformatic Strategy to Rapidly Characterize cDNA Libraries
G. Charles Ostermeier1, David J. Dix2 and Stephen A. Krawetz1.
1Departments of Obstetrics and Gynecology, Center for Molecular Medicine and Genetics, & Institute for Scientific Computing, Wayne State University, USA; 2Office of Research and Development, U.S. Environmental Protection Agency, USA.
Complementary DNA libraries define the genetic constituents of specific cells and/or tissues. Sequencing of these libraries to illuminate the transcriptome is a monumental task requiring considerable resources. We have employed a computational search in conjunction with a microarray-based strategy to alleviate the impediments of deriving a consensus of records that describe testis gene expression. This strategy identified 5,681 unique testes-expressed genes of which 3,265 were previously portrayed in the UniGene database. Interestingly, a total of 2,416 novel testes-expressed genes were identified. This clearly demonstrates that microarrays can be used to rapidly discover a large number of new transcripts.