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Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching

Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research in recent years. To provide the comprehensive NGS resource for the research, in this paper , we have considered 10 loci/codi/repeats TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and...

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Detalles Bibliográficos
Autores principales: Someswara Rao, Chinta, Raju, S. Viswanadha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778683/
https://www.ncbi.nlm.nih.gov/pubmed/26981434
http://dx.doi.org/10.1016/j.gdata.2016.01.015
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author Someswara Rao, Chinta
Raju, S. Viswanadha
author_facet Someswara Rao, Chinta
Raju, S. Viswanadha
author_sort Someswara Rao, Chinta
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description Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research in recent years. To provide the comprehensive NGS resource for the research, in this paper , we have considered 10 loci/codi/repeats TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and TCTA. Then we developed the NGS Tandem Repeat Database (TandemRepeatDB) for all the chromosomes of Homo sapiens, Callithrix jacchus, Chlorocebus sabaeus, Gorilla gorilla, Macaca fascicularis, Macaca mulatta, Nomascus leucogenys, Pan troglodytes, Papio anubis and Pongo abelii genome data sets for all those locis. We find the successive occurence frequency for all the above 10 SSR (simple sequence repeats) in the above genome data sets on a chromosome-by-chromosome basis with multiple pattern 2° shaft multicore string matching.
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spelling pubmed-47786832016-03-15 Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching Someswara Rao, Chinta Raju, S. Viswanadha Genom Data Regular Article Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research in recent years. To provide the comprehensive NGS resource for the research, in this paper , we have considered 10 loci/codi/repeats TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and TCTA. Then we developed the NGS Tandem Repeat Database (TandemRepeatDB) for all the chromosomes of Homo sapiens, Callithrix jacchus, Chlorocebus sabaeus, Gorilla gorilla, Macaca fascicularis, Macaca mulatta, Nomascus leucogenys, Pan troglodytes, Papio anubis and Pongo abelii genome data sets for all those locis. We find the successive occurence frequency for all the above 10 SSR (simple sequence repeats) in the above genome data sets on a chromosome-by-chromosome basis with multiple pattern 2° shaft multicore string matching. Elsevier 2016-01-29 /pmc/articles/PMC4778683/ /pubmed/26981434 http://dx.doi.org/10.1016/j.gdata.2016.01.015 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Someswara Rao, Chinta
Raju, S. Viswanadha
Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title_full Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title_fullStr Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title_full_unstemmed Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title_short Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
title_sort next generation sequencing (ngs) database for tandem repeats with multiple pattern 2°-shaft multicore string matching
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778683/
https://www.ncbi.nlm.nih.gov/pubmed/26981434
http://dx.doi.org/10.1016/j.gdata.2016.01.015
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