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 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
李牛牛完成签到,获得积分10
1秒前
太阳雨发布了新的文献求助10
2秒前
2秒前
wy.he应助Billy采纳,获得10
3秒前
田様应助科研通管家采纳,获得10
3秒前
打打应助科研通管家采纳,获得10
3秒前
ZeKaWa完成签到,获得积分0
4秒前
yar应助科研通管家采纳,获得10
4秒前
所所应助科研通管家采纳,获得10
4秒前
yar应助科研通管家采纳,获得10
4秒前
小二郎应助科研通管家采纳,获得10
4秒前
Hello应助科研通管家采纳,获得10
4秒前
传奇3应助科研通管家采纳,获得10
4秒前
AJJACKY发布了新的文献求助10
4秒前
yar应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
Mireia完成签到,获得积分10
4秒前
4秒前
充电宝应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
LIANG发布了新的文献求助10
6秒前
shuo发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
9秒前
HOXXXiii完成签到,获得积分10
9秒前
9秒前
9秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
wjx发布了新的文献求助10
13秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3975378
求助须知:如何正确求助?哪些是违规求助? 3519775
关于积分的说明 11199621
捐赠科研通 3256067
什么是DOI,文献DOI怎么找? 1798124
邀请新用户注册赠送积分活动 877386
科研通“疑难数据库(出版商)”最低求助积分说明 806305