Bioinformatics Approach in Plant Genomic Research
http://repository.vnu.edu.vn/handle/VNU_123/29658
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 highdensity 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
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 highdensity 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
| Title: | Bioinformatics Approach in Plant Genomic Research |
| Authors: | Ong, Q. Nguyen, P. N.P., Thao Le, L. |
| Keywords: | Bioinformatics Comparative genomics GWAS Next-generation sequencing Phylogenomics Plant genomics |
| Issue Date: | 2016 |
| Publisher: | Bentham Science Publishers B.V. |
| Citation: | Scopus |
| Abstract: | 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 highdensity 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 |
| Description: | Current Genomics Volume 17, Issue 4, 1 August 2016, Pages 368-378 |
| URI: | http://repository.vnu.edu.vn/handle/VNU_123/29658 http://www.eurekaselect.com/140825/article |
| ISSN: | 13892029 |
| Appears in Collections: | Bài báo của ĐHQGHN trong Scopus |
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