计算生物学:从15到0的生物学洞察力

Harold R Garner , Alexander Pertsemlidis
{"title":"计算生物学:从15到0的生物学洞察力","authors":"Harold R Garner ,&nbsp;Alexander Pertsemlidis","doi":"10.1016/S1478-5382(03)02260-1","DOIUrl":null,"url":null,"abstract":"<div><p>There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration and ends with interpretation, modeling, visualization, and prediction. Data mining may play a role in the middle, depending on the size of the dataset. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation and hypothesis generation. The fundamental challenges are to describe, analyze, simulate and predict the dynamics of life processes.</p></div>","PeriodicalId":9227,"journal":{"name":"Biosilico","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2003-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02260-1","citationCount":"4","resultStr":"{\"title\":\"Computational biology: biological insight from 1s and 0s\",\"authors\":\"Harold R Garner ,&nbsp;Alexander Pertsemlidis\",\"doi\":\"10.1016/S1478-5382(03)02260-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration and ends with interpretation, modeling, visualization, and prediction. Data mining may play a role in the middle, depending on the size of the dataset. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation and hypothesis generation. The fundamental challenges are to describe, analyze, simulate and predict the dynamics of life processes.</p></div>\",\"PeriodicalId\":9227,\"journal\":{\"name\":\"Biosilico\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S1478-5382(03)02260-1\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biosilico\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1478538203022601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosilico","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1478538203022601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

毫无疑问,计算生物学和生物信息学,以及计算机科学和生物学的接口,对生物学研究的未来至关重要。这些学科跨越了一个过程,从数据收集、分析、分类和集成开始,到解释、建模、可视化和预测结束。数据挖掘可能在中间发挥作用,这取决于数据集的大小。总体而言,重点是识别机会和开发计算解决方案(包括算法,模型,工具和数据库),可用于实验设计,数据分析和解释以及假设生成。基本的挑战是描述、分析、模拟和预测生命过程的动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational biology: biological insight from 1s and 0s

There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration and ends with interpretation, modeling, visualization, and prediction. Data mining may play a role in the middle, depending on the size of the dataset. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation and hypothesis generation. The fundamental challenges are to describe, analyze, simulate and predict the dynamics of life processes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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