Algorithms for Extracting Structured Motifs Using a Suffix Tree with an Application to Promoter and Regulatory Site Consensus Identification-Reference-Cited by-同舟云学术

Algorithms for Extracting Structured Motifs Using a Suffix Tree with an Application to Promoter and Regulatory Site Consensus Identification

Published:2000-08 Issue:3-4 Volume:7 Page:345-362
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Marsan Laurent¹,Sagot Marie-France²

Affiliation:

1. Institut Gaspard Monge, Université de Marne la Vallée 5, bd Descartes, Champs-sur-Marne 77454, Marne-la-Vallée Cedex 2.

2. Institut Gaspard Monge, Université de Marne la Vallée 5, bd Descartes, Champs-sur-Marne 77454, Marne-la-Vallée Cedex 2; Institut Pasteur Service d'Informatique Scientifique 28, rue du Dr. Roux 75724, Paris Cedex 15.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/106652700750050826

Reference28 articles.

1. Selection of DNA binding sites by regulatory proteins

2. Approaches to the Automatic Discovery of Patterns in Biosequences

3. Predicting Gene Regulatory Elements in Silico on a Genomic Scale

4. Expectation maximization algorithm for identifying protein-binding sites with variable lengths from unaligned DNA fragments

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