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An Analysis of Adenovirus Genomes Using Whole Genome Software Tools

The evolution of sequencing technology has lead to an enormous increase in the number of genomes that have been sequenced. This is especially true in the field of virus genomics. In order to extract meaningful biological information from these genomes, whole genome data mining software tools must be...

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Autor principal: Mahadevan, Padmanabhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320926/
https://www.ncbi.nlm.nih.gov/pubmed/28293072
http://dx.doi.org/10.6026/97320630012301
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author Mahadevan, Padmanabhan
author_facet Mahadevan, Padmanabhan
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description The evolution of sequencing technology has lead to an enormous increase in the number of genomes that have been sequenced. This is especially true in the field of virus genomics. In order to extract meaningful biological information from these genomes, whole genome data mining software tools must be utilized. Hundreds of tools have been developed to analyze biological sequence data. However, only some of these tools are user-friendly to biologists. Several of these tools that have been successfully used to analyze adenovirus genomes are described here. These include Artemis, EMBOSS, pDRAW, zPicture, CoreGenes, GeneOrder, and PipMaker. These tools provide functionalities such as visualization, restriction enzyme analysis, alignment, and proteome comparisons that are extremely useful in the bioinformatics analysis of adenovirus genomes.
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spelling pubmed-53209262017-03-14 An Analysis of Adenovirus Genomes Using Whole Genome Software Tools Mahadevan, Padmanabhan Bioinformation Hypothesis The evolution of sequencing technology has lead to an enormous increase in the number of genomes that have been sequenced. This is especially true in the field of virus genomics. In order to extract meaningful biological information from these genomes, whole genome data mining software tools must be utilized. Hundreds of tools have been developed to analyze biological sequence data. However, only some of these tools are user-friendly to biologists. Several of these tools that have been successfully used to analyze adenovirus genomes are described here. These include Artemis, EMBOSS, pDRAW, zPicture, CoreGenes, GeneOrder, and PipMaker. These tools provide functionalities such as visualization, restriction enzyme analysis, alignment, and proteome comparisons that are extremely useful in the bioinformatics analysis of adenovirus genomes. Biomedical Informatics 2016-08-30 /pmc/articles/PMC5320926/ /pubmed/28293072 http://dx.doi.org/10.6026/97320630012301 Text en © 2016 Biomedical Informatics This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Mahadevan, Padmanabhan
An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title_full An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title_fullStr An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title_full_unstemmed An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title_short An Analysis of Adenovirus Genomes Using Whole Genome Software Tools
title_sort analysis of adenovirus genomes using whole genome software tools
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320926/
https://www.ncbi.nlm.nih.gov/pubmed/28293072
http://dx.doi.org/10.6026/97320630012301
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