Skip Navigation

This Article
Right arrow Full Text Freely available
Right arrow Print PDF (218K) Freely available
Right arrow Supplementary Material
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 (14)
Right arrowRequest Permissions
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Foissac, S.
Right arrow Articles by Schiex, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Foissac, S.
Right arrow Articles by Schiex, T.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 2003, Vol. 31, No. 13 3742-3745
© 2003 Oxford University Press

EUNE'HOM: a generic similarity-based gene finder using multiple homologous sequences

Sylvain Foissac*, Philippe Bardou, Annick Moisan, Marie-Josée Cros and Thomas Schiex

Laboratoire de Biométrie et Intelligence Artificielle, INRA, 31326, Castanet Tolosan Cedex, France

*To whom correspondence should be addressed. Tel: +33 5 61 28 53 33; Fax: +33 5 61 28 53 35; Email : foissac{at}toulouse.inra.fr

EUNE'HOM is a gene prediction software for eukaryotic organisms based on comparative analysis. EUNE'HOM is able to take into account multiple homologous sequences from more or less closely related organisms. It integrates the results of TBLASTX analysis, splice site and start codon prediction and a robust coding/non-coding probabilistic model which allows EUNE'HOM to handle sequences from a variety of organisms. The current target of EUNE'HOM is plant sequences. The EUNE'HOM web site is available at http://genopole.toulouse.inra.fr/bioinfo/eugene/EuGeneHom/cgi-bin/EuGeneHom.pl.


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
BioinformaticsHome page
F. F. Roos, R. Jacob, J. Grossmann, B. Fischer, J. M. Buhmann, W. Gruissem, S. Baginsky, and P. Widmayer
PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra
Bioinformatics, November 15, 2007; 23(22): 3016 - 3023.
[Abstract] [Full Text] [PDF]


Home page
Plant Physiol.Home page
S. Sato, Y. Nakamura, E. Asamizu, S. Isobe, and S. Tabata
Genome Sequencing and Genome Resources in Model Legumes
Plant Physiology, June 1, 2007; 144(2): 588 - 593.
[Full Text] [PDF]


Home page
Genome ResHome page
W. Zhu and C. R. Buell
Improvement of whole-genome annotation of cereals through comparative analyses
Genome Res., March 1, 2007; 17(3): 299 - 310.
[Abstract] [Full Text] [PDF]


Home page
Proc. Natl. Acad. Sci. USAHome page
S. B. Cannon, L. Sterck, S. Rombauts, S. Sato, F. Cheung, J. Gouzy, X. Wang, J. Mudge, J. Vasdewani, T. Schiex, et al.
Legume genome evolution viewed through the Medicago truncatula and Lotus japonicus genomes
PNAS, October 3, 2006; 103(40): 14959 - 14964.
[Abstract] [Full Text] [PDF]


Home page
Plant Physiol.Home page
S. B. Cannon, J. A. Crow, M. L. Heuer, X. Wang, E. K.S. Cannon, C. Dwan, A.-F. Lamblin, J. Vasdewani, J. Mudge, A. Cook, et al.
Databases and Information Integration for the Medicago truncatula Genome and Transcriptome
Plant Physiology, May 1, 2005; 138(1): 38 - 46.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
S. Aubourg, V. Brunaud, C. Bruyere, M. Cock, R. Cooke, A. Cottet, A. Couloux, P. Dehais, G. Deleage, A. Duclert, et al.
GeneFarm, structural and functional annotation of Arabidopsis gene and protein families by a network of experts
Nucleic Acids Res., January 1, 2005; 33(suppl_1): D641 - D646.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
B. Issac and G. P. S. Raghava
EGPred: Prediction of Eukaryotic Genes Using Ab Initio Methods After Combining With Sequence Similarity Approaches
Genome Res., September 1, 2004; 14(9): 1756 - 1766.
[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.