Genome Research Econo tag

Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
 QUICK SEARCH:   [advanced]


     


Published online before print July 17, 2003, 10.1101/gr.1261703
Genome Res. 13:1930-1937, 2003
©2003 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/03 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
1261703v1
13/8/1930    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
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 Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kotlar, D.
Right arrow Articles by Lavner, Y.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kotlar, D.
Right arrow Articles by Lavner, Y.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Methods

Gene Prediction by Spectral Rotation Measure: A New Method for Identifying Protein-Coding Regions

Daniel Kotlar and Yizhar Lavner1

Department of Computer Science, Tel-Hai Academic College, Upper Galilee 12210, Israel

A new measure for gene prediction in eukaryotes is presented. The measure is based on the Discrete Fourier Transform (DFT) phase at a frequency of 1/3, computed for the four binary sequences for A, T, C, and G. Analysis of all the experimental genes of S. cerevisiae revealed distribution of the phase in a bell-like curve around a central value, in all four nucleotides, whereas the distribution of the phase in the noncoding regions was found to be close to uniform. Similar findings were obtained for other organisms. Several measures based on the phase property are proposed. The measures are computed by clockwise rotation of the vectors, obtained by DFT for each analysis frame, by an angle equal to the corresponding central value. In protein coding regions, this rotation is assumed to closely align all vectors in the complex plane, thereby amplifying the magnitude of the vector sum. In noncoding regions, this operation does not significantly change this magnitude. Computing the measures with one chromosome and applying them on sequences of others reveals improved performance compared with other algorithms that use the 1/3 frequency feature, especially in short exons. The phase property is also used to find the reading frame of the sequence.


Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1261703.

1 Corresponding author. E-MAIL yizhar_l{at}kyiftah.org.il; FAX972-4-6952899.

Article published online before print in July 2003.


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


This article has been cited by other articles:


Home page
BioinformaticsHome page
Y. Saeys, P. Rouze, and Y. Van de Peer
In search of the small ones: improved prediction of short exons in vertebrates, plants, fungi and protists
Bioinformatics, February 15, 2007; 23(4): 414 - 420.
[Abstract] [Full Text] [PDF]




Home Help [Feedback] [For Subscribers] [Archive] [Search] [Contents]
Genes Dev. Learn. Mem.
Protein Science RNA Genome Res.
Copyright © 2003 by Cold Spring Harbor Laboratory Press.