Bioinformatics approaches and big data analytics opportunities in improving fisheries and aquaculture

水产养殖 DNA测序 大数据 基因组学 数据科学 分析 计算机科学 生物技术 计算生物学 生物 基因组 渔业 鱼 基因 数据挖掘 遗传学
作者
Mohd Ashraf Rather,Deepak Agarwal,Tashooq Ahmad Bhat,Irfan Ahamd Khan,Imran Zafar,Sujit Kumar,Adnan Amin,Jitendra Kumar Sundaray,Tahiya Qadri
出处
期刊:International Journal of Biological Macromolecules [Elsevier BV]
卷期号:233: 123549-123549 被引量:12
标识
DOI:10.1016/j.ijbiomac.2023.123549
摘要

Aquaculture has witnessed an excellent growth rate during the last two decades and offers huge potential to provide nutritional as well as livelihood security. Genomic research has contributed significantly toward the development of beneficial technologies for aquaculture. The existing high throughput technologies like next-generation technologies generate oceanic data which requires extensive analysis using appropriate tools. Bioinformatics is a rapidly evolving science that involves integrating gene based information and computational technology to produce new knowledge for the benefit of aquaculture. Bioinformatics provides new opportunities as well as challenges for information and data processing in new generation aquaculture. Rapid technical advancements have opened up a world of possibilities for using current genomics to improve aquaculture performance. Understanding the genes that govern economically relevant characteristics, necessitates a significant amount of additional research. The various dimensions of data sources includes next-generation DNA sequencing, protein sequencing, RNA sequencing gene expression profiles, metabolic pathways, molecular markers, and so on. Appropriate bioinformatics tools are developed to mine the biologically relevant and commercially useful results. The purpose of this scoping review is to present various arms of diverse bioinformatics tools with special emphasis on practical translation to the aquaculture industry.

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