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Bioinformatics ; 32(17): 2707-9, 2016 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-27170037

RESUMO

UNLABELLED: Simple Sequence Repeats (SSRs) are used to address a variety of research questions in a variety of fields (e.g. population genetics, phylogenetics, forensics, etc.), due to their high mutability within and between species. Here, we present an innovative algorithm, SA-SSR, based on suffix and longest common prefix arrays for efficiently detecting SSRs in large sets of sequences. Existing SSR detection applications are hampered by one or more limitations (i.e. speed, accuracy, ease-of-use, etc.). Our algorithm addresses these challenges while being the most comprehensive and correct SSR detection software available. SA-SSR is 100% accurate and detected >1000 more SSRs than the second best algorithm, while offering greater control to the user than any existing software. AVAILABILITY AND IMPLEMENTATION: SA-SSR is freely available at http://github.com/ridgelab/SA-SSR CONTACT: perry.ridge@byu.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Assuntos
Algoritmos , Repetições de Microssatélites , Bases de Dados de Ácidos Nucleicos , Marcadores Genéticos , Análise de Sequência de DNA/métodos , Software
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