Selecting Genotyping Oligo Probes Via Logical Analysis of Data

Based on the general framework of logical analysis of data, we develop a probe design method for selecting short oligo probes for genotyping applications in this paper. When extensively tested on genomic sequences downloaded from the Lost Alamos National Laboratory and the National Center of Biotech...

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Detalles Bibliográficos
Autores principales: Kim, Kwangsoo, Ryoo, Hong Seo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2007
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122177/
http://dx.doi.org/10.1007/978-3-540-72665-4_8
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author Kim, Kwangsoo
Ryoo, Hong Seo
author_facet Kim, Kwangsoo
Ryoo, Hong Seo
author_sort Kim, Kwangsoo
collection PubMed
description Based on the general framework of logical analysis of data, we develop a probe design method for selecting short oligo probes for genotyping applications in this paper. When extensively tested on genomic sequences downloaded from the Lost Alamos National Laboratory and the National Center of Biotechnology Information websites in various monospecific and polyspecific in silico experimental settings, the proposed probe design method selected a small number of oligo probes of length 7 or 8 nucleotides that perfectly classified all unseen testing sequences. These results well illustrate the utility of the proposed method in genotyping applications.
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spelling pubmed-71221772020-04-06 Selecting Genotyping Oligo Probes Via Logical Analysis of Data Kim, Kwangsoo Ryoo, Hong Seo Advances in Artificial Intelligence Article Based on the general framework of logical analysis of data, we develop a probe design method for selecting short oligo probes for genotyping applications in this paper. When extensively tested on genomic sequences downloaded from the Lost Alamos National Laboratory and the National Center of Biotechnology Information websites in various monospecific and polyspecific in silico experimental settings, the proposed probe design method selected a small number of oligo probes of length 7 or 8 nucleotides that perfectly classified all unseen testing sequences. These results well illustrate the utility of the proposed method in genotyping applications. 2007 /pmc/articles/PMC7122177/ http://dx.doi.org/10.1007/978-3-540-72665-4_8 Text en © Springer Berlin Heidelberg 2007 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kim, Kwangsoo
Ryoo, Hong Seo
Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title_full Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title_fullStr Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title_full_unstemmed Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title_short Selecting Genotyping Oligo Probes Via Logical Analysis of Data
title_sort selecting genotyping oligo probes via logical analysis of data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122177/
http://dx.doi.org/10.1007/978-3-540-72665-4_8
work_keys_str_mv AT kimkwangsoo selectinggenotypingoligoprobesvialogicalanalysisofdata
AT ryoohongseo selectinggenotypingoligoprobesvialogicalanalysisofdata

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