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Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes

In this paper, we presented the datasets generated using Chose Game representation (CGR) and Choase Game Representation of Frequencies (FCGR) of bacterial and archaeal 16S rRNA sequences. The data in the form of graphical representations was yielded with the help of ENDMEMO tool. The computational r...

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Detalles Bibliográficos
Autores principales: Rekadwad, Bhagwan N., Khobragade, Chandrahasya N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376247/
https://www.ncbi.nlm.nih.gov/pubmed/28393088
http://dx.doi.org/10.1016/j.dib.2017.03.017
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author Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
author_facet Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
author_sort Rekadwad, Bhagwan N.
collection PubMed
description In this paper, we presented the datasets generated using Chose Game representation (CGR) and Choase Game Representation of Frequencies (FCGR) of bacterial and archaeal 16S rRNA sequences. The data in the form of graphical representations was yielded with the help of ENDMEMO tool. The computational representation of these data datasets is useful for studies and interpretation of microbial sequences. Based on a technique from chaotic dynamics, the method produces a picture of any gene (DNA and RNA) sequence which displays both local and global patterns. Eukaryotes and prokaryotes can be identified merely based on their generated visual representation/DNA structures.
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spelling pubmed-53762472017-04-07 Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes Rekadwad, Bhagwan N. Khobragade, Chandrahasya N. Data Brief Data Article In this paper, we presented the datasets generated using Chose Game representation (CGR) and Choase Game Representation of Frequencies (FCGR) of bacterial and archaeal 16S rRNA sequences. The data in the form of graphical representations was yielded with the help of ENDMEMO tool. The computational representation of these data datasets is useful for studies and interpretation of microbial sequences. Based on a technique from chaotic dynamics, the method produces a picture of any gene (DNA and RNA) sequence which displays both local and global patterns. Eukaryotes and prokaryotes can be identified merely based on their generated visual representation/DNA structures. Elsevier 2017-03-16 /pmc/articles/PMC5376247/ /pubmed/28393088 http://dx.doi.org/10.1016/j.dib.2017.03.017 Text en © 2017 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
Rekadwad, Bhagwan N.
Khobragade, Chandrahasya N.
Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title_full Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title_fullStr Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title_full_unstemmed Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title_short Data on graphical representation (CGR and FCGR) of bacterial and archaeal species from two Soda Lakes
title_sort data on graphical representation (cgr and fcgr) of bacterial and archaeal species from two soda lakes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376247/
https://www.ncbi.nlm.nih.gov/pubmed/28393088
http://dx.doi.org/10.1016/j.dib.2017.03.017
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