Enhanced A * algorithms for multiple alignments: optimal alignments for several sequences and k-opt approximate alignments for large cases

Author： Ikeda T. Imai H.

Publisher： Elsevier

ISSN： 0304-3975

Source： Theoretical Computer Science, Vol.210, Iss.2, 1999-01, pp. : 341-374

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Identification of true EST alignments for recognising transcribed regions

By Zhou Chuang Ma; Jia Wang; Lun Li; Mo-Jie Duan; Yan-Hong

International Journal of Data Mining and Bioinformatics, Vol. 5, Iss. 5, 2011-10 ,pp. : 465-484

Inderscience Publishers

Access to resources Recommend Favorite

Strategic Alignments: A Common Direction from Local to European

By Murray K. J.

The Cartographic Journal, Vol. 44, Iss. 3, 2007-08 ,pp. : 216-221

Maney Publishing

Access to resources Recommend Favorite

BamView: visualizing and interpretation of next-generation sequencing read alignments

By Carver Tim Harris Simon R. Otto Thomas D. Berriman Matthew Parkhill Julian McQuillan Jacqueline A.

Briefings in Bioinformatics, Vol. 14, Iss. 2, 2013-03 ,pp. : 203-212

Oxford University Press

Access to resources Recommend Favorite

Predicting functional residues of protein sequence alignments as a feature selection task

By Haddow Chris Perry Justin Durrant Marcus Faith Joe

International Journal of Data Mining and Bioinformatics, Vol. 5, Iss. 6, 2011-02 ,pp. : 691-705

Inderscience Publishers

Access to resources Recommend Favorite

A computational study of several relocation methods for k-means algorithms

By Tarsitano A.

Pattern Recognition, Vol. 36, Iss. 12, 2003-12 ,pp. : 2955-2966

Elsevier

Access to resources Recommend Favorite