GeneSigDB: a manually curated database and resource for analysis of gene expression signatures.
GeneSigDB: a manually curated database and resource for analysis of gene expression signatures.
复制标题
DOI：
10.1093/nar/gkr901
复制
发表时间：
2012-01
影响因子：
14.9
通讯作者：
Quackenbush J
中科院分区：
文献类型：
--
作者：
Culhane AC;Schröder MS;Sultana R;Picard SC;Martinelli EN;Kelly C;Haibe-Kains B;Kapushesky M;St Pierre AA;Flahive W;Picard KC;Gusenleitner D;Papenhausen G;O'Connor N;Correll M;Quackenbush J
GeneSigDB(http://www.genesigdb.org或http://compbio.dfci.harvard.edu/genesigdb/)是从已发表的文献中提取并手动整理的基因签名的数据库。它向社区提供了已发表的癌症和相关疾病的预后、诊断和其他基因签名的标准化资源，以便他们可以比较基因签名的预测能力，或将这些用于基因集丰富分析。自从GeneSigDB发布1.0版以来，我们已经从575个基因签名扩展到3515个基因签名，这些签名是从1604篇发表的文章中收集和转录的，这些文章主要集中在癌症、干细胞、免疫细胞、发育和肺部疾病的基因表达上。我们对GeneSigDB网站进行了重大升级，以提高可访问性和可用性，包括添加标签云浏览功能、刻面导航和用于存储感兴趣的基因或基因签名的“篮子”功能。用户可以分析GeneSigDB基因签名，或上传他们自己的基因列表，以识别具有显著基因重叠的基因签名，并可以在动态可编辑热图上查看结果，该热图可以作为出版物质量图像下载。GeneSigDB中的所有数据都可以以多种格式下载，包括用于基因集浓缩分析的.gmt文件格式或R/BioConductor数据文件。GeneSigDB可从http://www.genesigdb.org.获得
GeneSigDB (http://www.genesigdb.org or http://compbio.dfci.harvard.edu/genesigdb/) is a database of gene signatures that have been extracted and manually curated from the published literature. It provides a standardized resource of published prognostic, diagnostic and other gene signatures of cancer and related disease to the community so they can compare the predictive power of gene signatures or use these in gene set enrichment analysis. Since GeneSigDB release 1.0, we have expanded from 575 to 3515 gene signatures, which were collected and transcribed from 1604 published articles largely focused on gene expression in cancer, stem cells, immune cells, development and lung disease. We have made substantial upgrades to the GeneSigDB website to improve accessibility and usability, including adding a tag cloud browse function, facetted navigation and a ‘basket’ feature to store genes or gene signatures of interest. Users can analyze GeneSigDB gene signatures, or upload their own gene list, to identify gene signatures with significant gene overlap and results can be viewed on a dynamic editable heatmap that can be downloaded as a publication quality image. All data in GeneSigDB can be downloaded in numerous formats including .gmt file format for gene set enrichment analysis or as a R/Bioconductor data file. GeneSigDB is available from http://www.genesigdb.org.
登录
查看更多内容
影响因子：
5.8
作者：
Liberzon, Arthur;Subramanian, Aravind;Mesirov, Jill P.
通讯作者：
Mesirov, Jill P.
影响因子：
2.7
作者：
Fan C;Prat A;Parker JS;Liu Y;Carey LA;Troester MA;Perou CM
通讯作者：
Perou CM
影响因子：
4.3
作者：
Reference Genome Group of the Gene Ontology Consortium
通讯作者：
Reference Genome Group of the Gene Ontology Consortium
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
影响因子：
14.9
作者：
Parkinson H;Kapushesky M;Kolesnikov N;Rustici G;Shojatalab M;Abeygunawardena N;Berube H;Dylag M;Emam I;Farne A;Holloway E;Lukk M;Malone J;Mani R;Pilicheva E;Rayner TF;Rezwan F;Sharma A;Williams E;Bradley XZ;Adamusiak T;Brandizi M;Burdett T;Coulson R;Krestyaninova M;Kurnosov P;Maguire E;Neogi SG;Rocca-Serra P;Sansone SA;Sklyar N;Zhao M;Sarkans U;Brazma A
通讯作者：
Brazma A