An automatic procedure to search highly repetitive sequences in genome as fluorescence in situ hybridization probes and its application on Brachypodium distachyon

Qiwei Li, Tong Liang, Xiaodan Fan, Chunhui Xu, Weichang Yu, S. Li
{"title":"An automatic procedure to search highly repetitive sequences in genome as fluorescence in situ hybridization probes and its application on Brachypodium distachyon","authors":"Qiwei Li, Tong Liang, Xiaodan Fan, Chunhui Xu, Weichang Yu, S. Li","doi":"10.1109/BIBM.2010.5706629","DOIUrl":null,"url":null,"abstract":"Fluorescence in situ hybridization (FISH) is a powerful technique that localizes specific DNA sequences on chromosomes for use in physical and genetic maps assembling, genetic counselling, species identification, etc. Highly repetitive sequences are considered to be suitable FISH probes that can avoid many potential problems of using unique sequences as FISH probes. The distinct chromosomal distributions of these highly repetitive sequences are also ideal for labelling purposes such as karyotyping. In this paper, we present an automatic computational procedure for searching highly repetitive sequences from a whole genome as FISH probes, as well as an experimental protocol to use them in FISH analysis. We successfully applied the method on the newly released genome of Brachypodium distachyon (Brachypodium) and produced satisfactory results of FISH experiment.","PeriodicalId":275098,"journal":{"name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2010.5706629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Fluorescence in situ hybridization (FISH) is a powerful technique that localizes specific DNA sequences on chromosomes for use in physical and genetic maps assembling, genetic counselling, species identification, etc. Highly repetitive sequences are considered to be suitable FISH probes that can avoid many potential problems of using unique sequences as FISH probes. The distinct chromosomal distributions of these highly repetitive sequences are also ideal for labelling purposes such as karyotyping. In this paper, we present an automatic computational procedure for searching highly repetitive sequences from a whole genome as FISH probes, as well as an experimental protocol to use them in FISH analysis. We successfully applied the method on the newly released genome of Brachypodium distachyon (Brachypodium) and produced satisfactory results of FISH experiment.
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
荧光原位杂交探针在基因组高重复序列搜索中的应用
荧光原位杂交(FISH)是一种强大的技术,可以定位染色体上特定的DNA序列,用于物理和遗传图谱的组装,遗传咨询,物种鉴定等。高度重复序列被认为是合适的FISH探针,可以避免使用独特序列作为FISH探针的许多潜在问题。这些高度重复序列的独特染色体分布也非常适合用于标记目的,如核型分析。在本文中,我们提出了一种自动计算程序,用于从全基因组中搜索高重复序列作为FISH探针,以及一种实验方案,将它们用于FISH分析。我们成功地将该方法应用于新发布的短掌菜(Brachypodium)基因组,并取得了令人满意的FISH实验结果。
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 gene ranking method using text-mining for the identification of disease related genes alns — A searchable and filterable sequence alignment format A fast and noise-adaptive rough-fuzzy hybrid algorithm for medical image segmentation An accurate, automatic method for markerless alignment of electron tomographic images Unsupervised integration of multiple protein disorder predictors
×
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