A Pairwise Alignment Algorithm Which Favors Clusters of Blocks-Reference-Cited by-同舟云学术

A Pairwise Alignment Algorithm Which Favors Clusters of Blocks

Published:2005-02 Issue:1 Volume:12 Page:33-47
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Nédélec Elodie¹,Moncion Thomas²³,Gassiat Elisabeth¹,Bossard Bruno²⁴,Duchateau-Nguyen Guillemette⁵,Denise Alain²⁵,Termier Michel⁵

Affiliation:

1. Laboratoire de Mathématiques, Equipe de Probabilités, Statistique et Modélisation, UMR CNRS 8628, Université Paris-Sud, Orsay.

2. LRI, Equipe Bioinformatique, UMR CNRS 8621, Université Paris-Sud, Orsay.

3. LaMI, UMR CNRS 8042, Université d'Evry.

4. LIMSI, UPR CNRS 3251, Université Paris-Sud, Orsay.

5. Bioinformatique des Génomes, Institut de Génétique et Microbiologie (IGM), UMR CNRS 8623, Bât.400, Université Paris-Sud, 91405 Orsay Cedex, France.

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/cmb.2005.12.33

Reference21 articles.

1. A new approach to sequence comparison: normalized sequence alignment

2. Pairwise sequence alignment below the twilight zone11Edited by B. Honig

3. Upper bounds and importance sampling of p-values for DNA and protein sequence alignments

4. Significance of Z-value statistics of Smith–Waterman scores for protein alignments

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