Skip Navigation



Bioinformatics Advance Access published online on December 15, 2005
Bioinformatics, doi:10.1093/bioinformatics/btk006
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow All Versions of this Article:
22/4/495    most recent
btk006v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Huntley, D.
Right arrow Articles by Sergot, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Huntley, D.
Right arrow Articles by Sergot, M.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received June 29, 2005
Revised November 23, 2005
Accepted December 11, 2005

Applications note

SEAN: SNP prediction and display program utilizing EST sequence clusters

Derek Huntley 1 *, Angela Baldo 2, Saurabh Johri 3, and Marek Sergot 4

1 Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College, London SW7 2AZ UK
2 USDA-ARS Plant Genetic Resources Unit, New York State Agricultural Experiment Station, Geneva, NY 14456-0462, USA
3 Centre for Molecular Microbiology and Infection, Division of Investigative Sciences, Imperial College, London SW7 2AZ UK
4 Department of Computing, Imperial College, London SW7 2AZ

* To whom correspondence should be addressed.
Derek Huntley, E-mail: d.huntley{at}imperial.ac.uk


  Abstract

Summary: SEAN is an application that predicts SNPs using multiple sequence alignments produced from EST clusters. The algorithm uses rules of sequence identity and SNP abundance to determine the quality of the prediction. A Java viewer is provided to display the EST alignments and predicted SNPs.

Availability: SEAN is freely available from http://zebrafish.doc.ic.ac.uk/Sean.


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 HeredHome page
B. S. Coates, D. V. Sumerford, N. J. Miller, K. S. Kim, T. W. Sappington, B. D. Siegfried, and L. C. Lewis
Comparative Performance of Single Nucleotide Polymorphism and Microsatellite Markers for Population Genetic Analysis
J. Hered., September 1, 2009; 100(5): 556 - 564.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
G. Denisov, B. Walenz, A. L. Halpern, J. Miller, N. Axelrod, S. Levy, and G. Sutton
Consensus generation and variant detection by Celera Assembler
Bioinformatics, April 15, 2008; 24(8): 1035 - 1040.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
A. Papanicolaou, S. Gebauer-Jung, M. L. Blaxter, W. Owen McMillan, and C. D. Jiggins
ButterflyBase: a platform for lepidopteran genomics
Nucleic Acids Res., January 11, 2008; 36(suppl_1): D582 - D587.
[Abstract] [Full Text] [PDF]

Home page
 GeneticsHome page
M. Gautier, T. Faraut, K. Moazami-Goudarzi, V. Navratil, M. Foglio, C. Grohs, A. Boland, J.-G. Garnier, D. Boichard, G. M. Lathrop, et al.
Genetic and Haplotypic Structure in 14 European and African Cattle Breeds
Genetics, October 1, 2007; 177(2): 1059 - 1070.
[Abstract] [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.