DroID 2011: a comprehensive, integrated resource for protein, transcription factor, RNA and gene interactions for Drosophila.

DroID 2011: a comprehensive, integrated resource for protein, transcription factor, RNA and gene interactions for Drosophila.
复制标题

DOI:
10.1093/nar/gkq1092
复制
发表时间:
2011-01
影响因子:
14.9
通讯作者:
Finley RL Jr
Finley RL Jr
中科院分区:
生物学2区
文献类型:
--
作者:
Murali T;Pacifico S;Yu J;Guest S;Roberts GG 3rd;Finley RL Jr

文献摘要

参考文献

被引文献

相似文献

DroID(http://droidb.org/),果蝇相互作用数据库,是果蝇基因和蛋白质相互作用的综合公共资源。DroID包含遗传相互作用和实验检测的蛋白质-蛋白质相互作用,这些相互作用来自文献和外部数据库,并基于其他物种的实验预测蛋白质相互作用。蛋白质相互作用的注释与实验细节和定期更新的置信分数。DroID中的数据可以通过用户友好、直观的界面访问,这些界面允许简单或高级搜索以及交互网络的图形可视化。DroID已扩展到包括相互作用类型,从而能够更完整地分析生物过程背后的遗传网络。除了蛋白质-蛋白质和遗传相互作用外,该数据库现在还包括转录因子-基因和调节RNA-基因相互作用。此外,DroID现在拥有更多的基因表达数据,可用于搜索和过滤交互网络。果蝇基因到其他生物体的直系同源基因映射也可用于促进基于许多常见模式生物和人类的基因名称和标识符发现相互作用。对网络和图形界面进行了改进,以帮助生物学家全面了解与他们研究的基因和系统相关的相互作用网络。
DroID (http://droidb.org/), the Drosophila Interactions Database, is a comprehensive public resource for Drosophila gene and protein interactions. DroID contains genetic interactions and experimentally detected protein–protein interactions curated from the literature and from external databases, and predicted protein interactions based on experiments in other species. Protein interactions are annotated with experimental details and periodically updated confidence scores. Data in DroID is accessible through user-friendly, intuitive interfaces that allow simple or advanced searches and graphical visualization of interaction networks. DroID has been expanded to include interaction types that enable more complete analyses of the genetic networks that underlie biological processes. In addition to protein–protein and genetic interactions, the database now includes transcription factor–gene and regulatory RNA–gene interactions. In addition, DroID now has more gene expression data that can be used to search and filter interaction networks. Orthologous gene mappings of Drosophila genes to other organisms are also available to facilitate finding interactions based on gene names and identifiers for a number of common model organisms and humans. Improvements have been made to the web and graphical interfaces to help biologists gain a comprehensive view of the interaction networks relevant to the genes and systems that they study.
DOI: 10.1101/gr.087528.108
发表时间: 2009-06-01
期刊: GENOME RESEARCH
影响因子: 7
作者:
Alexeyenko, Andrey;Sonnhammer, Erik L. L.
通讯作者: Sonnhammer, Erik L. L.
DOI: 10.1093/nar/gkn764
发表时间: 2009-01
影响因子: 14.9
作者:
Barrett T;Troup DB;Wilhite SE;Ledoux P;Rudnev D;Evangelista C;Kim IF;Soboleva A;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Edgar R
通讯作者: Edgar R
DOI: 10.1186/1471-2105-7-195
发表时间: 2006-04-07
期刊: BMC bioinformatics
影响因子: 3
作者:
Pacifico S;Liu G;Guest S;Parrish JR;Fotouhi F;Finley RL Jr
通讯作者: Finley RL Jr
DOI: 10.1093/nar/gkp983
发表时间: 2010-01
影响因子: 14.9
作者:
Ceol A;Chatr Aryamontri A;Licata L;Peluso D;Briganti L;Perfetto L;Castagnoli L;Cesareni G
通讯作者: Cesareni G
DOI: 10.1371/journal.pcbi.0010013
发表时间: 2005-06
影响因子: 4.3
作者:
Grün D;Wang YL;Langenberger D;Gunsalus KC;Rajewsky N
通讯作者: Rajewsky N