title: Bioinformatics Approach in Plant Genomic Research.
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 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.
authors: Plant Abiotic Stress Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam; ; Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Vietnam;
authors: Quang
authors: Q
authors: Ong
authors: School of Biotechnology, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
authors: Phuc
authors: P
authors: Nguyen
authors: School of Biotechnology, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
authors: Nguyen Phuong
authors: NP
authors: Thao
authors: School of Biotechnology, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
authors: Ly
authors: L
authors: Le
keywords: Bioinformatics; Comparative genomics; GWAS; Next-generation sequencing; Phylogenomics; Plant genomics