New Approximate Statistical Significance of Gapped Alignments Based on the Greedy Extension Model.


Journal

Journal of computational biology : a journal of computational molecular cell biology
ISSN: 1557-8666
Titre abrégé: J Comput Biol
Pays: United States
ID NLM: 9433358

Informations de publication

Date de publication:
09 2020
Historique:
pubmed: 9 1 2020
medline: 8 10 2021
entrez: 9 1 2020
Statut: ppublish

Résumé

Sequence alignment is a fundamental concept in bioinformatics to distinguish regions of similarity among various sequences. The degree of similarity has been considered as a score. There are a number of various methods to find the statistical significance of similarity in the gapped and ungapped cases. In this article, we improve the statistical significance accuracy of the local score by introducing a new approximate

Identifiants

pubmed: 31913652
doi: 10.1089/cmb.2018.0203
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1361-1372

Auteurs

Amirhossein Karami (A)

Department of Statistics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran.

Afshin Fayyaz Movaghar (A)

Department of Statistics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran.

Sabine Mercier (S)

Institut de Mathematiques de Toulouse, Department of Mathematics and Computer Science, Universite Toulouse Jean Jaures, Toulouse, France.

Louis Ferre (L)

Institut de Mathematiques de Toulouse, Toulouse, France.

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Classifications MeSH