Application and Potential Use of Advanced Bioinformatics Techniques in Agriculture and Animal Sciences

M. N. Khalid
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引用次数: 1

Abstract

The amount of biological information generated in the last two decades is enormous because of Next generation sequencing (NGS) discovery that has enabled researches to sequence and model almost every organism and also due to rapid advancements in techniques and tools in experimental research. The research which was first carried out at fields, labs and clinics is now started with computational analysis (in-silico) of information, modeling, experiment planning and hypothesis development. Various applications of bioinformatics are algorithms, databases, and other data analysis tools and softwares that enable storage, analysis, retrieval, annotation and visual interpretation of biological information which in turn increases the knowledge of various biological systems that help in making new discoveries regarding production, human health, animal health and plant health keeping in mind the challenges of climate change, water and area shortage. This will help not only in increased plant and animal production but also in management and treatment of various human, animal and plant diseases in addition to the underlying mechanisms and strategies of the rapidly evolving pathogenic microorganism and antibiotic resistance.
先进生物信息学技术在农业和动物科学中的应用和潜在用途
由于下一代测序(NGS)的发现使研究能够对几乎所有生物进行测序和建模,并且由于实验研究技术和工具的快速进步,在过去二十年中产生的生物信息量是巨大的。这项研究最初是在野外、实验室和诊所进行的,现在开始了对信息、建模、实验计划和假设发展的计算机分析。生物信息学的各种应用是算法、数据库和其他数据分析工具和软件,使生物信息的存储、分析、检索、注释和可视化解释成为可能,这反过来又增加了各种生物系统的知识,有助于在生产、人类健康、动物健康和植物健康方面做出新的发现,同时牢记气候变化、水和面积短缺的挑战。这不仅有助于提高动植物产量,而且有助于管理和治疗各种人类、动物和植物疾病,以及迅速演变的病原微生物和抗生素耐药性的潜在机制和策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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