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Computational Tools for Genomic Studies in Plants
In recent years, the genomic sequence of numerous plant species including the main crop species has been determined. Computational tools have been developed to deal with the issue of which plant has been sequenced and where is the sequence hosted. In this mini-review, the databases for genome projec...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Bentham Science Publishers
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282602/ https://www.ncbi.nlm.nih.gov/pubmed/28217007 http://dx.doi.org/10.2174/1389202917666160520103447 |
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author | Martinez, Manuel |
author_facet | Martinez, Manuel |
author_sort | Martinez, Manuel |
collection | PubMed |
description | In recent years, the genomic sequence of numerous plant species including the main crop species has been determined. Computational tools have been developed to deal with the issue of which plant has been sequenced and where is the sequence hosted. In this mini-review, the databases for genome projects, the databases created to host species/clade projects and the databases developed to perform plant comparative genomics are revised. Because of their importance in modern research, an in-depth analysis of the plant comparative genomics databases has been performed. This comparative analysis is focused in the common and specific computational tools developed to achieve the particular objectives of each database. Besides, emerging high-performance bioinformatics tools specific for plant research are commented. What kind of computational approaches should be implemented in next years to efficiently analyze plant genomes is discussed. |
format | Online Article Text |
id | pubmed-5282602 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-52826022017-06-01 Computational Tools for Genomic Studies in Plants Martinez, Manuel Curr Genomics Article In recent years, the genomic sequence of numerous plant species including the main crop species has been determined. Computational tools have been developed to deal with the issue of which plant has been sequenced and where is the sequence hosted. In this mini-review, the databases for genome projects, the databases created to host species/clade projects and the databases developed to perform plant comparative genomics are revised. Because of their importance in modern research, an in-depth analysis of the plant comparative genomics databases has been performed. This comparative analysis is focused in the common and specific computational tools developed to achieve the particular objectives of each database. Besides, emerging high-performance bioinformatics tools specific for plant research are commented. What kind of computational approaches should be implemented in next years to efficiently analyze plant genomes is discussed. Bentham Science Publishers 2016-12 2016-12 /pmc/articles/PMC5282602/ /pubmed/28217007 http://dx.doi.org/10.2174/1389202917666160520103447 Text en ©2016 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Martinez, Manuel Computational Tools for Genomic Studies in Plants |
title | Computational Tools for Genomic Studies in Plants |
title_full | Computational Tools for Genomic Studies in Plants |
title_fullStr | Computational Tools for Genomic Studies in Plants |
title_full_unstemmed | Computational Tools for Genomic Studies in Plants |
title_short | Computational Tools for Genomic Studies in Plants |
title_sort | computational tools for genomic studies in plants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282602/ https://www.ncbi.nlm.nih.gov/pubmed/28217007 http://dx.doi.org/10.2174/1389202917666160520103447 |
work_keys_str_mv | AT martinezmanuel computationaltoolsforgenomicstudiesinplants |