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FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA

Michiel Van Bel UGent, Yvan Saeys UGent and Yves Van de Peer UGent (2008) BIOINFORMATICS. 24(13). p.1532-1533
abstract
Motivation: Many problems in genome annotation are tackled by using a classification model to predict functional sites such as splice sites, translation start sites or stop codons. Locating the correct position of these sites remains one of the most important but also one of the most difficult issues in the structural annotation of genomes. Most of the software currently in use is written for a very specific problem, thereby limiting the possibilities for reuse. Summary: We developed a software platform that uses a very general approach towards the classification of functional sites in DNA sequences. The program uses an ab initio approach towards the identification of these sites, and extends SpliceMachine, a previously developed splice site predictor that shows state-of-the art performance for both donor and acceptor splice site recognition in the human and Arabidopsis thaliana genome.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
journal title
BIOINFORMATICS
Bioinformatics
volume
24
issue
13
pages
1532 - 1533
Web of Science type
Article
Web of Science id
000257169700070
JCR category
MATHEMATICAL & COMPUTATIONAL BIOLOGY
JCR impact factor
4.328 (2008)
JCR rank
2/28 (2008)
JCR quartile
1 (2008)
ISSN
1367-4803
DOI
10.1093/bioinformatics/btn225
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
510970
handle
http://hdl.handle.net/1854/LU-510970
date created
2009-02-27 15:13:11
date last changed
2012-05-11 10:16:33
@article{510970,
  abstract     = {Motivation: Many problems in genome annotation are tackled by using a classification model to predict functional sites such as splice sites, translation start sites or stop codons. Locating the correct position of these sites remains one of the most important but also one of the most difficult issues in the structural annotation of genomes. Most of the software currently in use is written for a very specific problem, thereby limiting the possibilities for reuse. 
Summary: We developed a software platform that uses a very general approach towards the classification of functional sites in DNA sequences. The program uses an ab initio approach towards the identification of these sites, and extends SpliceMachine, a previously developed splice site predictor that shows state-of-the art performance for both donor and acceptor splice site recognition in the human and Arabidopsis thaliana genome.},
  author       = {Van Bel, Michiel and Saeys, Yvan and Van de Peer, Yves},
  issn         = {1367-4803},
  journal      = {BIOINFORMATICS},
  language     = {eng},
  number       = {13},
  pages        = {1532--1533},
  title        = {FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA},
  url          = {http://dx.doi.org/10.1093/bioinformatics/btn225},
  volume       = {24},
  year         = {2008},
}

Chicago
Van Bel, Michiel, Yvan Saeys, and Yves Van de Peer. 2008. “FunSiP: a Modular and Extensible Classifier for the Prediction of Functional Sites in DNA.” Bioinformatics 24 (13): 1532–1533.
APA
Van Bel, M., Saeys, Y., & Van de Peer, Y. (2008). FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA. BIOINFORMATICS, 24(13), 1532–1533.
Vancouver
1.
Van Bel M, Saeys Y, Van de Peer Y. FunSiP: a modular and extensible classifier for the prediction of functional sites in DNA. BIOINFORMATICS. 2008;24(13):1532–3.
MLA
Van Bel, Michiel, Yvan Saeys, and Yves Van de Peer. “FunSiP: a Modular and Extensible Classifier for the Prediction of Functional Sites in DNA.” BIOINFORMATICS 24.13 (2008): 1532–1533. Print.