YASS: enhancing the sensitivity of DNA similarity search.

Laurent Noé 1, 2, * Gregory Kucherov 1, 2
* Auteur correspondant
2 SEQUOIA - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : YASS is a DNA local alignment tool based on an efficient and sensitive filtering algorithm. It applies transition-constrained seeds to specify the most probable conserved motifs between homologous sequences, combined with a flexible hit criterion used to identify groups of seeds that are likely to exhibit significant alignments. A web interface (http://www.loria.fr/projects/YASS/) is available to upload input sequences in fasta format, query the program and visualize the results obtained in several forms (dot-plot, tabular output and others). A standalone version is available for download from the web page.
Type de document :
Article dans une revue
Nucleic Acids Research, Oxford University Press, 2005, 33 (Web Server issue), pp.W540-3. 〈http://nar.oxfordjournals.org/cgi/content/short/33/suppl_2/W540〉. 〈10.1093/nar/gki478〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00448742
Contributeur : Laurent Noé <>
Soumis le : lundi 25 janvier 2010 - 19:20:58
Dernière modification le : mardi 6 mars 2018 - 17:40:54

Lien texte intégral

Identifiants

Collections

Citation

Laurent Noé, Gregory Kucherov. YASS: enhancing the sensitivity of DNA similarity search.. Nucleic Acids Research, Oxford University Press, 2005, 33 (Web Server issue), pp.W540-3. 〈http://nar.oxfordjournals.org/cgi/content/short/33/suppl_2/W540〉. 〈10.1093/nar/gki478〉. 〈inria-00448742〉

Partager

Métriques

Consultations de la notice

246