{"title":"Networks in bioinformatics","authors":"Lenwood S. Heath","doi":"10.1109/ISPAN.2002.1004274","DOIUrl":null,"url":null,"abstract":"Networks of biological components are common in the life sciences. The annotation of such networks with experimental data and biological knowledge gives rise to a rich, though generally incomplete, semantics of a real biological phenomenon. One tool for investigating such networks is microarray technology, a modern window into patterns of gene expression in cells. Current bioinformatics work on gene expression data address mechanisms underlying successful responses to drought stress in plants, which naturally leads to problems involving biological networks. Some biological context precedes a discussion of these problems.","PeriodicalId":255069,"journal":{"name":"Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN'02","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Symposium on Parallel Architectures, Algorithms and Networks. I-SPAN'02","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPAN.2002.1004274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Networks of biological components are common in the life sciences. The annotation of such networks with experimental data and biological knowledge gives rise to a rich, though generally incomplete, semantics of a real biological phenomenon. One tool for investigating such networks is microarray technology, a modern window into patterns of gene expression in cells. Current bioinformatics work on gene expression data address mechanisms underlying successful responses to drought stress in plants, which naturally leads to problems involving biological networks. Some biological context precedes a discussion of these problems.
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生物信息学中的网络
生物成分网络在生命科学中很常见。用实验数据和生物学知识对这样的网络进行注释,产生了一个丰富的、尽管通常不完整的真实生物现象的语义。研究这种网络的一个工具是微阵列技术,这是一扇通往细胞中基因表达模式的现代窗口。目前关于基因表达数据的生物信息学研究解决了植物成功应对干旱胁迫的机制,这自然导致了涉及生物网络的问题。在讨论这些问题之前,有一些生物学背景。
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