Data Mining in Genomics and Proteomics for a New Era of Computational Biology

S. Daefler
{"title":"Data Mining in Genomics and Proteomics for a New Era of Computational Biology","authors":"S. Daefler","doi":"10.35248/2153-0602.20.11.E221","DOIUrl":null,"url":null,"abstract":"Data mining refers to the processes of discovering large data sets which involves the methods of intersection of statistics, Data base systems and machine learning. Genomics refers to the study of structure, function, evolution, and mapping of genomes. Proteomics refers to study of proteins as proteins are the essential things for the growth of function and growth of living organisms. Data Mining in Genomics and proteomics correlates the interface of computer science along with the biological aspects which paves an easy and essential way for future biological researchers throughout the world.","PeriodicalId":15630,"journal":{"name":"Journal of Data Mining in Genomics & Proteomics","volume":"3 1","pages":"1-1"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Data Mining in Genomics & Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35248/2153-0602.20.11.E221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Data mining refers to the processes of discovering large data sets which involves the methods of intersection of statistics, Data base systems and machine learning. Genomics refers to the study of structure, function, evolution, and mapping of genomes. Proteomics refers to study of proteins as proteins are the essential things for the growth of function and growth of living organisms. Data Mining in Genomics and proteomics correlates the interface of computer science along with the biological aspects which paves an easy and essential way for future biological researchers throughout the world.
计算生物学新时代的基因组学和蛋白质组学数据挖掘
数据挖掘是指发现大型数据集的过程,涉及统计学、数据库系统和机器学习的交叉方法。基因组学是指对基因组的结构、功能、进化和定位的研究。蛋白质组学是指对蛋白质的研究,因为蛋白质是生物体功能生长和生长所必需的物质。基因组学和蛋白质组学中的数据挖掘将计算机科学与生物学方面的接口联系起来,为未来世界各地的生物学研究人员铺平了一条简单而重要的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信