Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow FREE Full Text (Screen PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (6)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Ostermeier, G. C.
Right arrow Articles by Krawetz, S. A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ostermeier, G. C.
Right arrow Articles by Krawetz, S. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Bioinformatics Vol. 18 no. 7 2002
Pages 949-952
© 2002 Oxford University Press

A bioinformatic strategy to rapidly characterize cDNA libraries

G. Charles Ostermeier 1, David J. Dix 2 and Stephen A. Krawetz 1,*

1 Departments of Obstetrics and Gynecology, Center for Molecular Medicine and Genetics, and Institute for Scientific Computing, Wayne State University, USA
2 Office of Research and Development, US Environmental Protection Agency, USA

Received on October 13, 2001 ; revised on January 18, 2002 ; accepted on February 13, 2002

Motivation: Complementary DNA libraries can define the genetic constituents of specific cells and/or tissues. Their sequencing will illuminate the transcriptome but it is a monumental task requiring considerable resources.

Results: 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 5681 unique testes-expressed genes of which 3265 were previously portrayed in the UniGene database. Interestingly, a total of 2416 novel testes-expressed genes were identified. This clearly demonstrates that microarrays can be used to rapidly discover a large number of new transcripts.

Contact: steve{at}compbio.med.wayne.edu

* To whom correspondence should be addressed at: Charlotte B. Failing Professor, 253 C.S. Mott Center, 275 East Hancock, Detroit, MI, 48201, USA.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
J AndrolHome page
G. C. Ostermeier, R. J. Goodrich, J. S. Moldenhauer, M. P. Diamond, and S. A. Krawetz
A Suite of Novel Human Spermatozoal RNAs
J Androl, January 1, 2005; 26(1): 70 - 74.
[Abstract] [Full Text] [PDF]


Home page
J AndrolHome page
J. S. Moldenhauer, G. C. Ostermeier, A. Johnson, M. P. Diamond, and S. A. Krawetz
Diagnosing Male Factor Infertility Using Microarrays
J Androl, November 1, 2003; 24(6): 783 - 789.
[Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.