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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Biomedical Informatics
2016
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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 |
author_sort | Mahadevan, Padmanabhan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-5320926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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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