SPIKE: a database of highly curated human signaling pathways.
SPIKE: a database of highly curated human signaling pathways.
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DOI：
10.1093/nar/gkq1167
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发表时间：
2011-01
影响因子：
14.9
通讯作者：
Shamir R
中科院分区：
文献类型：
--
作者：
Paz A;Brownstein Z;Ber Y;Bialik S;David E;Sagir D;Ulitsky I;Elkon R;Kimchi A;Avraham KB;Shiloh Y;Shamir R
关于生物信号传导途径及其调控机制的知识的快速积累突出了对特定知识库的需求，这些知识库可以存储、组织和允许以对研究界有用的方式检索途径信息。SPIKE（信号通路综合知识引擎; http：//www. cs. tau. ac. il/& spike/）是实现这一目标的数据库，包含特定人类通路的高度策划的相互作用，沿着关于每个相互作用性质的文献参考信息。为了使数据库人口和路径理解简单明了，使用了一个简单而信息丰富的数据模型，路径被布置为地图，反映了策展人的理解，使路径的利用变得容易。该数据库目前主要集中在描述DNA损伤反应，细胞周期，程序性细胞死亡和听力相关途径的途径。路径定期更新，并逐步添加其他路径。完整的数据库和单独的地图可以以多种格式自由导出。该数据库配有一个独立的软件工具，用于分析和动态可视化路径。
The rapid accumulation of knowledge on biological signaling pathways and their regulatory mechanisms has highlighted the need for specific repositories that can store, organize and allow retrieval of pathway information in a way that will be useful for the research community. SPIKE (Signaling Pathways Integrated Knowledge Engine; http://www.cs.tau.ac.il/&~spike/) is a database for achieving this goal, containing highly curated interactions for particular human pathways, along with literature-referenced information on the nature of each interaction. To make database population and pathway comprehension straightforward, a simple yet informative data model is used, and pathways are laid out as maps that reflect the curator’s understanding and make the utilization of the pathways easy. The database currently focuses primarily on pathways describing DNA damage response, cell cycle, programmed cell death and hearing related pathways. Pathways are regularly updated, and additional pathways are gradually added. The complete database and the individual maps are freely exportable in several formats. The database is accompanied by a stand-alone software tool for analysis and dynamic visualization of pathways.
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影响因子：
12.3
作者：
Kandasamy K;Mohan SS;Raju R;Keerthikumar S;Kumar GS;Venugopal AK;Telikicherla D;Navarro JD;Mathivanan S;Pecquet C;Gollapudi SK;Tattikota SG;Mohan S;Padhukasahasram H;Subbannayya Y;Goel R;Jacob HK;Zhong J;Sekhar R;Nanjappa V;Balakrishnan L;Subbaiah R;Ramachandra YL;Rahiman BA;Prasad TS;Lin JX;Houtman JC;Desiderio S;Renauld JC;Constantinescu SN;Ohara O;Hirano T;Kubo M;Singh S;Khatri P;Draghici S;Bader GD;Sander C;Leonard WJ;Pandey A
通讯作者：
Pandey A
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
影响因子：
64.8
作者：
Rual, JF;Venkatesan, K;Vidal, M
通讯作者：
Vidal, M
影响因子：
14.9
作者：
Maglott, Donna;Ostell, Jim;Pruitt, Kim D;Tatusova, Tatiana
通讯作者：
Tatusova, Tatiana
影响因子：
64.5
作者：
Stelzl, U;Worm, U;Wanker, EE
通讯作者：
Wanker, EE