The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function.
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DOI：
10.1093/nar/gkq537
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发表时间：
2010-07
影响因子：
14.9
通讯作者：
Morris Q
中科院分区：
文献类型：
--
作者：
Warde-Farley D;Donaldson SL;Comes O;Zuberi K;Badrawi R;Chao P;Franz M;Grouios C;Kazi F;Lopes CT;Maitland A;Mostafavi S;Montojo J;Shao Q;Wright G;Bader GD;Morris Q
GeneMANIA（www.genemania.org）是一个灵活的、用户友好的网络界面，用于生成关于基因功能的假设、分析基因列表和对基因进行优先级排序以进行功能测定。给定一个查询列表，GeneMANIA使用可用的基因组学和蛋白质组学数据识别功能相似的基因来扩展该列表。GeneMANIA还报告权重，这些权重指示查询的每个所选数据集的预测值。目前支持六种生物（拟南芥、秀丽隐杆线虫、黑腹果蝇、小家鼠、智人和酿酒酵母），并从GEO、BioGRID、Pathway Commons和I2D以及生物体特异性功能基因组学数据集收集了数百个数据集。用户可以选择与生物体相关的数据集的任意子集来执行其分析，并且可以上传自己的数据集进行分析。GeneMANIA算法在酵母和小鼠基准上的表现与其他基因功能预测方法一样好或更好。GeneMANIA预测算法的高准确性，直观的用户界面和大型数据库使GeneMANIA成为任何生物学家的有用工具。
GeneMANIA (http://www.genemania.org) is a flexible, user-friendly web interface for generating hypotheses about gene function, analyzing gene lists and prioritizing genes for functional assays. Given a query list, GeneMANIA extends the list with functionally similar genes that it identifies using available genomics and proteomics data. GeneMANIA also reports weights that indicate the predictive value of each selected data set for the query. Six organisms are currently supported (Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, Homo sapiens and Saccharomyces cerevisiae) and hundreds of data sets have been collected from GEO, BioGRID, Pathway Commons and I2D, as well as organism-specific functional genomics data sets. Users can select arbitrary subsets of the data sets associated with an organism to perform their analyses and can upload their own data sets to analyze. The GeneMANIA algorithm performs as well or better than other gene function prediction methods on yeast and mouse benchmarks. The high accuracy of the GeneMANIA prediction algorithm, an intuitive user interface and large database make GeneMANIA a useful tool for any biologist.
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影响因子：
4.3
作者：
Guan Y;Myers CL;Lu R;Lemischka IR;Bult CJ;Troyanskaya OG
通讯作者：
Troyanskaya OG
影响因子：
12.3
作者：
Peña-Castillo L;Tasan M;Myers CL;Lee H;Joshi T;Zhang C;Guan Y;Leone M;Pagnani A;Kim WK;Krumpelman C;Tian W;Obozinski G;Qi Y;Mostafavi S;Lin GN;Berriz GF;Gibbons FD;Lanckriet G;Qiu J;Grant C;Barutcuoglu Z;Hill DP;Warde-Farley D;Grouios C;Ray D;Blake JA;Deng M;Jordan MI;Noble WS;Morris Q;Klein-Seetharaman J;Bar-Joseph Z;Chen T;Sun F;Troyanskaya OG;Marcotte EM;Xu D;Hughes TR;Roth FP
通讯作者：
Roth FP
影响因子：
14.9
作者：
Jensen LJ;Kuhn M;Stark M;Chaffron S;Creevey C;Muller J;Doerks T;Julien P;Roth A;Simonovic M;Bork P;von Mering C
通讯作者：
von Mering C
影响因子：
14.9
作者：
Keshava Prasad TS;Goel R;Kandasamy K;Keerthikumar S;Kumar S;Mathivanan S;Telikicherla D;Raju R;Shafreen B;Venugopal A;Balakrishnan L;Marimuthu A;Banerjee S;Somanathan DS;Sebastian A;Rani S;Ray S;Harrys Kishore CJ;Kanth S;Ahmed M;Kashyap MK;Mohmood R;Ramachandra YL;Krishna V;Rahiman BA;Mohan S;Ranganathan P;Ramabadran S;Chaerkady R;Pandey A
通讯作者：
Pandey A
影响因子：
7.2
作者：
Toufighi, K;Brady, SM;Provart, NJ
通讯作者：
Provart, NJ