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An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification
BACKGROUND: The identification of species or species groups with specific oligo-nucleotides as molecular signatures is becoming increasingly popular for bacterial samples. However, it shows also great promise for other small organisms that are taxonomically difficult to tract. RESULTS: We have devis...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2002
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC100321/ https://www.ncbi.nlm.nih.gov/pubmed/11882251 http://dx.doi.org/10.1186/1471-2105-3-9 |
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author | Pozhitkov, Alexander E Tautz, Diethard |
author_facet | Pozhitkov, Alexander E Tautz, Diethard |
author_sort | Pozhitkov, Alexander E |
collection | PubMed |
description | BACKGROUND: The identification of species or species groups with specific oligo-nucleotides as molecular signatures is becoming increasingly popular for bacterial samples. However, it shows also great promise for other small organisms that are taxonomically difficult to tract. RESULTS: We have devised here an algorithm that aims to find the optimal probes for any given set of sequences. The program requires only a crude alignment of these sequences as input and is optimized for performance to deal also with very large datasets. The algorithm is designed such that the position of mismatches in the probes influences the selection and makes provision of single nucleotide outloops. Program implementations are available for Linux and Windows. |
format | Text |
id | pubmed-100321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1003212002-03-29 An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification Pozhitkov, Alexander E Tautz, Diethard BMC Bioinformatics Research article BACKGROUND: The identification of species or species groups with specific oligo-nucleotides as molecular signatures is becoming increasingly popular for bacterial samples. However, it shows also great promise for other small organisms that are taxonomically difficult to tract. RESULTS: We have devised here an algorithm that aims to find the optimal probes for any given set of sequences. The program requires only a crude alignment of these sequences as input and is optimized for performance to deal also with very large datasets. The algorithm is designed such that the position of mismatches in the probes influences the selection and makes provision of single nucleotide outloops. Program implementations are available for Linux and Windows. BioMed Central 2002-03-06 /pmc/articles/PMC100321/ /pubmed/11882251 http://dx.doi.org/10.1186/1471-2105-3-9 Text en Copyright ©2002 Pozhitkov and Tautz; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research article Pozhitkov, Alexander E Tautz, Diethard An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title | An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title_full | An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title_fullStr | An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title_full_unstemmed | An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title_short | An algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
title_sort | algorithm and program for finding sequence specific oligo-nucleotide probes for species identification |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC100321/ https://www.ncbi.nlm.nih.gov/pubmed/11882251 http://dx.doi.org/10.1186/1471-2105-3-9 |
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