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Bioinformatics approaches and applications in plant biotechnology

BACKGROUND: In recent years, major advance in molecular biology and genomic technologies have led to an exponential growth in biological information. As the deluge of genomic information, there is a parallel growth in the demands of tools in the storage and management of data, and the development of...

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Autores principales: Tan, Yung Cheng, Kumar, Asqwin Uthaya, Wong, Ying Pei, Ling, Anna Pick Kiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287518/
https://www.ncbi.nlm.nih.gov/pubmed/35838847
http://dx.doi.org/10.1186/s43141-022-00394-5
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author Tan, Yung Cheng
Kumar, Asqwin Uthaya
Wong, Ying Pei
Ling, Anna Pick Kiong
author_facet Tan, Yung Cheng
Kumar, Asqwin Uthaya
Wong, Ying Pei
Ling, Anna Pick Kiong
author_sort Tan, Yung Cheng
collection PubMed
description BACKGROUND: In recent years, major advance in molecular biology and genomic technologies have led to an exponential growth in biological information. As the deluge of genomic information, there is a parallel growth in the demands of tools in the storage and management of data, and the development of software for analysis, visualization, modelling, and prediction of large data set. MAIN BODY: Particularly in plant biotechnology, the amount of information has multiplied exponentially with a large number of databases available from many individual plant species. Efficient bioinformatics tools and methodologies are also developed to allow rapid genome sequence and the study of plant genome in the ‘omics’ approach. This review focuses on the various bioinformatic applications in plant biotechnology, and their advantages in improving the outcome in agriculture. The challenges or limitations faced in plant biotechnology in the aspect of bioinformatics approach that explained the low progression in plant genomics than in animal genomics are also reviewed and assessed. CONCLUSION: There is a critical need for effective bioinformatic tools, which are able to provide longer reads with unbiased coverage in order to overcome the complexity of the plant’s genome. The advancement in bioinformatics is not only beneficial to the field of plant biotechnology and agriculture sectors, but will also contribute enormously to the future of humanity.
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spelling pubmed-92875182022-08-02 Bioinformatics approaches and applications in plant biotechnology Tan, Yung Cheng Kumar, Asqwin Uthaya Wong, Ying Pei Ling, Anna Pick Kiong J Genet Eng Biotechnol Review BACKGROUND: In recent years, major advance in molecular biology and genomic technologies have led to an exponential growth in biological information. As the deluge of genomic information, there is a parallel growth in the demands of tools in the storage and management of data, and the development of software for analysis, visualization, modelling, and prediction of large data set. MAIN BODY: Particularly in plant biotechnology, the amount of information has multiplied exponentially with a large number of databases available from many individual plant species. Efficient bioinformatics tools and methodologies are also developed to allow rapid genome sequence and the study of plant genome in the ‘omics’ approach. This review focuses on the various bioinformatic applications in plant biotechnology, and their advantages in improving the outcome in agriculture. The challenges or limitations faced in plant biotechnology in the aspect of bioinformatics approach that explained the low progression in plant genomics than in animal genomics are also reviewed and assessed. CONCLUSION: There is a critical need for effective bioinformatic tools, which are able to provide longer reads with unbiased coverage in order to overcome the complexity of the plant’s genome. The advancement in bioinformatics is not only beneficial to the field of plant biotechnology and agriculture sectors, but will also contribute enormously to the future of humanity. Springer Berlin Heidelberg 2022-07-15 /pmc/articles/PMC9287518/ /pubmed/35838847 http://dx.doi.org/10.1186/s43141-022-00394-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Tan, Yung Cheng
Kumar, Asqwin Uthaya
Wong, Ying Pei
Ling, Anna Pick Kiong
Bioinformatics approaches and applications in plant biotechnology
title Bioinformatics approaches and applications in plant biotechnology
title_full Bioinformatics approaches and applications in plant biotechnology
title_fullStr Bioinformatics approaches and applications in plant biotechnology
title_full_unstemmed Bioinformatics approaches and applications in plant biotechnology
title_short Bioinformatics approaches and applications in plant biotechnology
title_sort bioinformatics approaches and applications in plant biotechnology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287518/
https://www.ncbi.nlm.nih.gov/pubmed/35838847
http://dx.doi.org/10.1186/s43141-022-00394-5
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