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Bioinformatics Approach in Plant Genomic Research
The advance in genomics technology leads to the dramatic change in plant biology research. Plant biologists now easily access to enormous genomic data to deeply study plant high-density genetic variation at molecular level. Therefore, fully understanding and well manipulating bioinformatics tools to...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955030/ https://www.ncbi.nlm.nih.gov/pubmed/27499685 http://dx.doi.org/10.2174/1389202917666160331202956 |
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author | Ong, Quang Nguyen, Phuc Thao, Nguyen Phuong Le, Ly |
author_facet | Ong, Quang Nguyen, Phuc Thao, Nguyen Phuong Le, Ly |
author_sort | Ong, Quang |
collection | PubMed |
description | The advance in genomics technology leads to the dramatic change in plant biology research. Plant biologists now easily access to enormous genomic data to deeply study plant high-density genetic variation at molecular level. Therefore, fully understanding and well manipulating bioinformatics tools to manage and analyze these data are essential in current plant genome research. Many plant genome databases have been established and continued expanding recently. Meanwhile, analytical methods based on bioinformatics are also well developed in many aspects of plant genomic research including comparative genomic analysis, phylogenomics and evolutionary analysis, and genome-wide association study. However, constantly upgrading in computational infrastructures, such as high capacity data storage and high performing analysis software, is the real challenge for plant genome research. This review paper focuses on challenges and opportunities which knowledge and skills in bioinformatics can bring to plant scientists in present plant genomics era as well as future aspects in critical need for effective tools to facilitate the translation of knowledge from new sequencing data to enhancement of plant productivity. |
format | Online Article Text |
id | pubmed-4955030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-49550302017-02-01 Bioinformatics Approach in Plant Genomic Research Ong, Quang Nguyen, Phuc Thao, Nguyen Phuong Le, Ly Curr Genomics Article The advance in genomics technology leads to the dramatic change in plant biology research. Plant biologists now easily access to enormous genomic data to deeply study plant high-density genetic variation at molecular level. Therefore, fully understanding and well manipulating bioinformatics tools to manage and analyze these data are essential in current plant genome research. Many plant genome databases have been established and continued expanding recently. Meanwhile, analytical methods based on bioinformatics are also well developed in many aspects of plant genomic research including comparative genomic analysis, phylogenomics and evolutionary analysis, and genome-wide association study. However, constantly upgrading in computational infrastructures, such as high capacity data storage and high performing analysis software, is the real challenge for plant genome research. This review paper focuses on challenges and opportunities which knowledge and skills in bioinformatics can bring to plant scientists in present plant genomics era as well as future aspects in critical need for effective tools to facilitate the translation of knowledge from new sequencing data to enhancement of plant productivity. Bentham Science Publishers 2016-08 2016-08 /pmc/articles/PMC4955030/ /pubmed/27499685 http://dx.doi.org/10.2174/1389202917666160331202956 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 Ong, Quang Nguyen, Phuc Thao, Nguyen Phuong Le, Ly Bioinformatics Approach in Plant Genomic Research |
title | Bioinformatics Approach in Plant Genomic Research |
title_full | Bioinformatics Approach in Plant Genomic Research |
title_fullStr | Bioinformatics Approach in Plant Genomic Research |
title_full_unstemmed | Bioinformatics Approach in Plant Genomic Research |
title_short | Bioinformatics Approach in Plant Genomic Research |
title_sort | bioinformatics approach in plant genomic research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4955030/ https://www.ncbi.nlm.nih.gov/pubmed/27499685 http://dx.doi.org/10.2174/1389202917666160331202956 |
work_keys_str_mv | AT ongquang bioinformaticsapproachinplantgenomicresearch AT nguyenphuc bioinformaticsapproachinplantgenomicresearch AT thaonguyenphuong bioinformaticsapproachinplantgenomicresearch AT lely bioinformaticsapproachinplantgenomicresearch |