• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

转录因子结合位点的位置频率矩阵的相似性。

Similarity of position frequency matrices for transcription factor binding sites.

作者信息

Schones Dustin E, Sumazin Pavel, Zhang Michael Q

机构信息

Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY 11724, USA.

出版信息

Bioinformatics. 2005 Feb 1;21(3):307-13. doi: 10.1093/bioinformatics/bth480. Epub 2004 Aug 19.

DOI:10.1093/bioinformatics/bth480
PMID:15319260
Abstract

MOTIVATION

Transcription-factor binding sites (TFBS) in promoter sequences of higher eukaryotes are commonly modeled using position frequency matrices (PFM). The ability to compare PFMs representing binding sites is especially important for de novo sequence motif discovery, where it is desirable to compare putative matrices to one another and to known matrices.

RESULTS

We describe a PFM similarity quantification method based on product multinomial distributions, demonstrate its ability to identify PFM similarity and show that it has a better false positive to false negative ratio compared to existing methods. We grouped TFBS frequency matrices from two libraries into matrix families and identified the matrices that are common and unique to these libraries. We identified similarities and differences between the skeletal-muscle-specific and non-muscle-specific frequency matrices for the binding sites of Mef-2, Myf, Sp-1, SRF and TEF of Wasserman and Fickett. We further identified known frequency matrices and matrix families that were strongly similar to the matrices given by Wasserman and Fickett. We provide methodology and tools to compare and query libraries of frequency matrices for TFBSs.

AVAILABILITY

Software is available to use over the Web at http://rulai.cshl.edu/MatCompare

SUPPLEMENTARY INFORMATION

Database and clustering statistics, matrix families and representatives are available at http://rulai.cshl.edu/MatCompare/Supplementary.

摘要

动机

高等真核生物启动子序列中的转录因子结合位点(TFBS)通常使用位置频率矩阵(PFM)进行建模。比较代表结合位点的PFM的能力对于从头序列基序发现尤为重要,在该过程中,需要将推定的矩阵相互比较以及与已知矩阵进行比较。

结果

我们描述了一种基于乘积多项分布的PFM相似性量化方法,证明了其识别PFM相似性的能力,并表明与现有方法相比,它具有更好的假阳性与假阴性比率。我们将来自两个文库的TFBS频率矩阵分组为矩阵家族,并确定了这些文库共有的和独特的矩阵。我们确定了Wasserman和Fickett的Mef-2、Myf、Sp-1、SRF和TEF结合位点的骨骼肌特异性和非肌肉特异性频率矩阵之间的异同。我们进一步确定了与Wasserman和Fickett给出的矩阵高度相似的已知频率矩阵和矩阵家族。我们提供了用于比较和查询TFBS频率矩阵文库的方法和工具。

可用性

可通过网络在http://rulai.cshl.edu/MatCompare上使用该软件。

补充信息

数据库和聚类统计、矩阵家族和代表可在http://rulai.cshl.edu/MatCompare/Supplementary上获取。

相似文献

1
Similarity of position frequency matrices for transcription factor binding sites.转录因子结合位点的位置频率矩阵的相似性。
Bioinformatics. 2005 Feb 1;21(3):307-13. doi: 10.1093/bioinformatics/bth480. Epub 2004 Aug 19.
2
Natural similarity measures between position frequency matrices with an application to clustering.位置频率矩阵之间的自然相似性度量及其在聚类中的应用。
Bioinformatics. 2008 Feb 1;24(3):350-7. doi: 10.1093/bioinformatics/btm610. Epub 2008 Jan 2.
3
DWE: discriminating word enumerator.DWE:区分性单词枚举器。
Bioinformatics. 2005 Jan 1;21(1):31-8. doi: 10.1093/bioinformatics/bth471. Epub 2004 Aug 27.
4
Improvement of TRANSFAC matrices using multiple local alignment of transcription factor binding site sequences.利用转录因子结合位点序列的多重局部比对改进TRANSFAC矩阵。
Genome Inform. 2005;16(1):68-72.
5
Prediction of Ras-effector interactions using position energy matrices.使用位置能量矩阵预测Ras效应器相互作用。
Bioinformatics. 2007 Sep 1;23(17):2226-30. doi: 10.1093/bioinformatics/btm336. Epub 2007 Jun 28.
6
Comparative analysis of methods for representing and searching for transcription factor binding sites.转录因子结合位点的表示与搜索方法的比较分析
Bioinformatics. 2004 Dec 12;20(18):3516-25. doi: 10.1093/bioinformatics/bth438. Epub 2004 Aug 5.
7
Informative priors based on transcription factor structural class improve de novo motif discovery.基于转录因子结构类别的信息先验改进了从头基序发现。
Bioinformatics. 2006 Jul 15;22(14):e384-92. doi: 10.1093/bioinformatics/btl251.
8
Method for identifying transcription factor binding sites in yeast.鉴定酵母中转录因子结合位点的方法。
Bioinformatics. 2006 Jul 15;22(14):1675-81. doi: 10.1093/bioinformatics/btl160. Epub 2006 Apr 27.
9
MACO: a gapped-alignment scoring tool for comparing transcription factor binding sites.MACO:一种用于比较转录因子结合位点的缺口比对评分工具。
In Silico Biol. 2006;6(4):307-10.
10
MoRAine--a web server for fast computational transcription factor binding motif re-annotation.MoRAine——一个用于快速计算转录因子结合基序重新注释的网络服务器。
J Integr Bioinform. 2008 Aug 25;5(2):91. doi: 10.2390/biecoll-jib-2008-91.

引用本文的文献

1
Comparing full variation profile analysis with the conventional consensus method in SARS-CoV-2 phylogeny.比较全变异谱分析与 SARS-CoV-2 系统发育中的传统共识方法。
Brief Bioinform. 2024 May 23;25(4). doi: 10.1093/bib/bbae296.
2
RNANetMotif: Identifying sequence-structure RNA network motifs in RNA-protein binding sites.RNANetMotif:在 RNA-蛋白质结合位点中识别序列-结构 RNA 网络基序。
PLoS Comput Biol. 2022 Jul 12;18(7):e1010293. doi: 10.1371/journal.pcbi.1010293. eCollection 2022 Jul.
3
abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis.
abc4pwm:基于亲和度的位置权重矩阵聚类在 DNA 序列分析中的应用。
BMC Bioinformatics. 2022 Mar 3;23(1):83. doi: 10.1186/s12859-022-04615-z.
4
Performance evaluation for MOTIFSIM.MOTIFSIM的性能评估
Biol Proced Online. 2018 Dec 18;20:23. doi: 10.1186/s12575-018-0088-3. eCollection 2018.
5
Synergistic co-regulation and competition by a SOX9-GLI-FOXA phasic transcriptional network coordinate chondrocyte differentiation transitions.SOX9-GLI-FOXA 相控转录网络的协同共调控和竞争协调软骨细胞分化转变。
PLoS Genet. 2018 Apr 16;14(4):e1007346. doi: 10.1371/journal.pgen.1007346. eCollection 2018 Apr.
6
RSAT matrix-clustering: dynamic exploration and redundancy reduction of transcription factor binding motif collections.RSAT矩阵聚类:转录因子结合基序集合的动态探索与冗余减少
Nucleic Acids Res. 2017 Jul 27;45(13):e119. doi: 10.1093/nar/gkx314.
7
CardioTF, a database of deconstructing transcriptional circuits in the heart system.心脏转录因子数据库(CardioTF),一个用于解析心脏系统转录调控网络的数据库。
PeerJ. 2016 Aug 23;4:e2339. doi: 10.7717/peerj.2339. eCollection 2016.
8
CLIMP: Clustering Motifs via Maximal Cliques with Parallel Computing Design.CLIMP:通过具有并行计算设计的最大团进行基序聚类
PLoS One. 2016 Aug 3;11(8):e0160435. doi: 10.1371/journal.pone.0160435. eCollection 2016.
9
Chromatin variation associated with liver metabolism is mediated by transposable elements.与肝脏代谢相关的染色质变异由转座元件介导。
Epigenetics Chromatin. 2016 Jul 8;9:28. doi: 10.1186/s13072-016-0078-0. eCollection 2016.
10
Alignment-free clustering of transcription factor binding motifs using a genetic-k-medoids approach.使用遗传k-中心点方法对转录因子结合基序进行无比对聚类。
BMC Bioinformatics. 2015 Jan 28;16:22. doi: 10.1186/s12859-015-0450-2.