Detection of significant patterns by compression algorithms: the case of approximate tandem repeats in DNA sequences.

E Rivals, O Delgrange, J P Delahaye, M Dauchet, M O Delorme, A Hénaut, E Ollivier
{"title":"Detection of significant patterns by compression algorithms: the case of approximate tandem repeats in DNA sequences.","authors":"E Rivals,&nbsp;O Delgrange,&nbsp;J P Delahaye,&nbsp;M Dauchet,&nbsp;M O Delorme,&nbsp;A Hénaut,&nbsp;E Ollivier","doi":"10.1093/bioinformatics/13.2.131","DOIUrl":null,"url":null,"abstract":"<p><strong>Motivation: </strong>Compression algorithms can be used to analyse genetic sequences. A compression algorithm tests a given property on the sequence and uses it to encode the sequence: if the property is true, it reveals some structure of the sequence which can be described briefly, this yields a description of the sequence which is shorter than the sequence of nucleotides given in extenso. The more a sequence is compressed by the algorithm, the more significant is the property for that sequence.</p><p><strong>Results: </strong>We present a compression algorithm that tests the presence of a particular type of dosDNA (defined ordered sequence-DNA): approximate tandem repeats of small motifs (i.e. of lengths < 4). This algorithm has been experimented with on four yeast chromosomes. The presence of approximate tandem repeats seems to be a uniform structural property of yeast chromosomes.</p>","PeriodicalId":77081,"journal":{"name":"Computer applications in the biosciences : CABIOS","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1997-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/bioinformatics/13.2.131","citationCount":"72","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer applications in the biosciences : CABIOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/bioinformatics/13.2.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 72

Abstract

Motivation: Compression algorithms can be used to analyse genetic sequences. A compression algorithm tests a given property on the sequence and uses it to encode the sequence: if the property is true, it reveals some structure of the sequence which can be described briefly, this yields a description of the sequence which is shorter than the sequence of nucleotides given in extenso. The more a sequence is compressed by the algorithm, the more significant is the property for that sequence.

Results: We present a compression algorithm that tests the presence of a particular type of dosDNA (defined ordered sequence-DNA): approximate tandem repeats of small motifs (i.e. of lengths < 4). This algorithm has been experimented with on four yeast chromosomes. The presence of approximate tandem repeats seems to be a uniform structural property of yeast chromosomes.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过压缩算法检测显著模式:DNA序列中近似串联重复的情况。
动机:压缩算法可以用来分析基因序列。压缩算法测试序列上的给定属性,并使用它对序列进行编码:如果该属性为真,则显示序列的某些结构,该结构可以被简要描述,从而产生序列的描述,该描述比在扩展中给出的核苷酸序列短。一个序列被算法压缩得越多,该序列的属性就越重要。结果:我们提出了一种压缩算法,用于测试特定类型的dosDNA(定义有序序列- dna)的存在:小基序的近似串联重复序列(即长度< 4)。该算法已在四条酵母染色体上进行了实验。近似串联重复序列的存在似乎是酵母染色体的统一结构特性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A genetic algorithm for multiple molecular sequence alignment. Displaying the information contents of structural RNA alignments: the structure logos. Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR. SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements. XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1