YASS : Enhancing the sensitivity of DNA similarity search
Identifieur interne : 004397 ( Crin/Curation ); précédent : 004396; suivant : 004398YASS : Enhancing the sensitivity of DNA similarity search
Auteurs : Laurent Noé ; Gregory KucherovSource :
- Nucleic Acid Research ; 2005.
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.
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<front><div type="abstract" xml:lang="en" wicri:score="2218">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.</div>
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<BibTex type="article"><ref>noe05a</ref>
<crinnumber>A05-R-381</crinnumber>
<category>1</category>
<equipe>ADAGE</equipe>
<author><e>Noé, Laurent</e>
<e>Kucherov, Gregory</e>
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<title>YASS : Enhancing the sensitivity of DNA similarity search</title>
<journal>Nucleic Acid Research</journal>
<year>2005</year>
<volume>33</volume>
<pages>W540--W543</pages>
<month>Oct</month>
<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.</abstract>
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