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Genomics dataset on unclassified published organism (patent US 7547531)
Nucleotide (DNA) sequence analysis provides important clues regarding the characteristics and taxonomic position of an organism. With the intention that, DNA sequence analysis is very crucial to learn about hierarchical classification of that particular organism. This dataset (patent US 7547531) is...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066183/ https://www.ncbi.nlm.nih.gov/pubmed/27766287 http://dx.doi.org/10.1016/j.dib.2016.09.046 |
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author | Khan Shawan, Mohammad Mahfuz Ali Hasan, Md. Ashraful Hossain, Md. Mozammel Hasan, Md. Mahmudul Parvin, Afroza Akter, Salina Uddin, Kazi Rasel Banik, Subrata Morshed, Mahbubul Rahman, Md. Nazibur Rahman, S.M. Badier |
author_facet | Khan Shawan, Mohammad Mahfuz Ali Hasan, Md. Ashraful Hossain, Md. Mozammel Hasan, Md. Mahmudul Parvin, Afroza Akter, Salina Uddin, Kazi Rasel Banik, Subrata Morshed, Mahbubul Rahman, Md. Nazibur Rahman, S.M. Badier |
author_sort | Khan Shawan, Mohammad Mahfuz Ali |
collection | PubMed |
description | Nucleotide (DNA) sequence analysis provides important clues regarding the characteristics and taxonomic position of an organism. With the intention that, DNA sequence analysis is very crucial to learn about hierarchical classification of that particular organism. This dataset (patent US 7547531) is chosen to simplify all the complex raw data buried in undisclosed DNA sequences which help to open doors for new collaborations. In this data, a total of 48 unidentified DNA sequences from patent US 7547531 were selected and their complete sequences were retrieved from NCBI BioSample database. Quick response (QR) code of those DNA sequences was constructed by DNA BarID tool. QR code is useful for the identification and comparison of isolates with other organisms. AT/GC content of the DNA sequences was determined using ENDMEMO GC Content Calculator, which indicates their stability at different temperature. The highest GC content was observed in GP445188 (62.5%) which was followed by GP445198 (61.8%) and GP445189 (59.44%), while lowest was in GP445178 (24.39%). In addition, New England BioLabs (NEB) database was used to identify cleavage code indicating the 5, 3 and blunt end and enzyme code indicating the methylation site of the DNA sequences was also shown. These data will be helpful for the construction of the organisms’ hierarchical classification, determination of their phylogenetic and taxonomic position and revelation of their molecular characteristics. |
format | Online Article Text |
id | pubmed-5066183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-50661832016-10-20 Genomics dataset on unclassified published organism (patent US 7547531) Khan Shawan, Mohammad Mahfuz Ali Hasan, Md. Ashraful Hossain, Md. Mozammel Hasan, Md. Mahmudul Parvin, Afroza Akter, Salina Uddin, Kazi Rasel Banik, Subrata Morshed, Mahbubul Rahman, Md. Nazibur Rahman, S.M. Badier Data Brief Data Article Nucleotide (DNA) sequence analysis provides important clues regarding the characteristics and taxonomic position of an organism. With the intention that, DNA sequence analysis is very crucial to learn about hierarchical classification of that particular organism. This dataset (patent US 7547531) is chosen to simplify all the complex raw data buried in undisclosed DNA sequences which help to open doors for new collaborations. In this data, a total of 48 unidentified DNA sequences from patent US 7547531 were selected and their complete sequences were retrieved from NCBI BioSample database. Quick response (QR) code of those DNA sequences was constructed by DNA BarID tool. QR code is useful for the identification and comparison of isolates with other organisms. AT/GC content of the DNA sequences was determined using ENDMEMO GC Content Calculator, which indicates their stability at different temperature. The highest GC content was observed in GP445188 (62.5%) which was followed by GP445198 (61.8%) and GP445189 (59.44%), while lowest was in GP445178 (24.39%). In addition, New England BioLabs (NEB) database was used to identify cleavage code indicating the 5, 3 and blunt end and enzyme code indicating the methylation site of the DNA sequences was also shown. These data will be helpful for the construction of the organisms’ hierarchical classification, determination of their phylogenetic and taxonomic position and revelation of their molecular characteristics. Elsevier 2016-10-05 /pmc/articles/PMC5066183/ /pubmed/27766287 http://dx.doi.org/10.1016/j.dib.2016.09.046 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Khan Shawan, Mohammad Mahfuz Ali Hasan, Md. Ashraful Hossain, Md. Mozammel Hasan, Md. Mahmudul Parvin, Afroza Akter, Salina Uddin, Kazi Rasel Banik, Subrata Morshed, Mahbubul Rahman, Md. Nazibur Rahman, S.M. Badier Genomics dataset on unclassified published organism (patent US 7547531) |
title | Genomics dataset on unclassified published organism (patent US 7547531) |
title_full | Genomics dataset on unclassified published organism (patent US 7547531) |
title_fullStr | Genomics dataset on unclassified published organism (patent US 7547531) |
title_full_unstemmed | Genomics dataset on unclassified published organism (patent US 7547531) |
title_short | Genomics dataset on unclassified published organism (patent US 7547531) |
title_sort | genomics dataset on unclassified published organism (patent us 7547531) |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066183/ https://www.ncbi.nlm.nih.gov/pubmed/27766287 http://dx.doi.org/10.1016/j.dib.2016.09.046 |
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