InterMOD: integrated data and tools for the unification of model organism research.
InterMOD: integrated data and tools for the unification of model organism research.
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DOI：
10.1038/srep01802
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发表时间：
2013
影响因子：
4.6
通讯作者：
Micklem, Gos
中科院分区：
文献类型：
--
作者：
Sullivan, Julie;Karra, Kalpana;Moxon, Sierra A. T.;Vallejos, Andrew;Motenko, Howie;Wong, J. D.;Aleksic, Jelena;Balakrishnan, Rama;Binkley, Gail;Harris, Todd;Hitz, Benjamin;Jayaraman, Pushkala;Lyne, Rachel;Neuhauser, Steven;Pich, Christian;Smith, Richard N.;Quang Trinh;Cherry, J. Michael;Richardson, Joel;Stein, Lincoln;Twigger, Simon;Westerfield, Monte;Worthey, Elizabeth;Micklem, Gos
模式生物被广泛用于理解基础生物学，并对人类疾病的研究做出了重大贡献。近年来，基因组分析提供了真核生物中基因序列和功能广泛保存的大量证据，使模式生物的见解有助于破译更广泛物种的基因功能。InterMOD联盟正在开发一个基于InterMine数据仓库系统的基础设施，以整合来自许多关键模式生物的基因组和功能数据，从而改进跨物种研究。到目前为止，该项目已经建立了数据仓库，同步数据模型，并创建了分析工具和不同物种数据之间的链接，包括萌芽酵母，线虫，果蝇，斑马鱼，大鼠和小鼠。该项目联合了一些主要的模式生物数据库，提高了比较研究的一致性和可及性，使更广泛的科学界受益。
Model organisms are widely used for understanding basic biology, and have significantly contributed to the study of human disease. In recent years, genomic analysis has provided extensive evidence of widespread conservation of gene sequence and function amongst eukaryotes, allowing insights from model organisms to help decipher gene function in a wider range of species. The InterMOD consortium is developing an infrastructure based around the InterMine data warehouse system to integrate genomic and functional data from a number of key model organisms, leading the way to improved cross-species research. So far including budding yeast, nematode worm, fruit fly, zebrafish, rat and mouse, the project has set up data warehouses, synchronized data models, and created analysis tools and links between data from different species. The project unites a number of major model organism databases, improving both the consistency and accessibility of comparative research, to the benefit of the wider scientific community.
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影响因子：
14.9
作者：
Contrino S;Smith RN;Butano D;Carr A;Hu F;Lyne R;Rutherford K;Kalderimis A;Sullivan J;Carbon S;Kephart ET;Lloyd P;Stinson EO;Washington NL;Perry MD;Ruzanov P;Zha Z;Lewis SE;Stein LD;Micklem G
通讯作者：
Micklem G
DOI：
10.1093/bioinformatics/btp193
发表时间：
2009-06-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Du P;Feng G;Flatow J;Song J;Holko M;Kibbe WA;Lin SM
通讯作者：
Lin SM
影响因子：
14.9
作者：
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者：
Yamanishi Y
影响因子：
14.9
作者：
Pfreundt U;James DP;Tweedie S;Wilson D;Teichmann SA;Adryan B
通讯作者：
Adryan B
影响因子：
56.9
作者：
HARTWELL, LH;CULOTTI, J;REID, BJ
通讯作者：
REID, BJ