000NoneBreastMark is an algorithm we have developed that has allowed us to identify subsets of genes/miRNAs that are associated with disease progression in breast cancer and its subtypes i.e. a set of putative prognostic markers. This algorithm integrates gene expression microarrays which frequently also contain miRNA expression information, and detailed clinical data to correlate clinical outcome with differential gene/miRNA expression levels. This algorithm integrates gene expression and survival data from 26 datasets on 12 different microarray platforms corresponding to ~17,000 genes in up to 4,738 samples. It also allows us to examine the prognostic potential of 341 microRNAs. The accompanying manuscript is published and available here: https://www.ncbi.nlm.nih.gov/pubmed/23820017. 2013-08-17 01:14:47http://glados.ucd.ie/BreastMark/post_gene_default.cgi?name={{EntrezGene}}&DFS=RFS&median=median&lymph_positive=positive&lymph_negative=negative&LumA_pam50=LumA_pam50&LumB_pam50=LumB_pam50&Her2_pam50=Her2_pam502013-08-17 01:14:480.000.01125glados.ucd.iebiogpsusersidentify subsets of genes/miRNAs that are associated with disease progression in breast cancer and its subtypespluginasu/profile/3/asuAndrew SupubliciframehumanBreastMark (NOTE: plugin can take ~2 mins to load)000None0.0genegene-annotationreagentshttp://web.global.nibr.novartis.net/apps/nibrgenome/#gene/{{EntrezGene}}2013-09-12 18:26:190.002013-09-12 18:22:491132web.global.nibr.novartis.netbiogpsusersNIBR Genome Gene Details page within Novartispluginyzhou/profile/222/yzhouYingyao Zhoupubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigNIBR Genome000NoneChimerDB is designed to be a knowledgebase of fusion transcripts collected from various public resources such as the Sanger CGP, OMIM, PubMed, and Mitelman’s database2013-10-10 22:20:46http://ercsb.ewha.ac.kr:8080/FusionGene/analyze.do?sourceDb=gbMrna%2CgbEst%2C454%2Comim%2Cpm%2Ccosmic%2Cmitelman&gene={{Symbol}}&doA=true&doB=true&doC=true&genePairChrom=gene&classSearchOption=predefinedClasses2013-10-10 22:20:460.000.01137ercsb.ewha.ac.kr:8080biogpsusersA knowledgebase of fusion transcripts collected from public resources such as the Sanger CGP, OMIM, PubMed, and Mitelman’s databasepluginasu/profile/3/asuAndrew SupubliciframehumanChimerDB000None2014-01-19 12:56:49{{entrezgene}}2014-01-19 12:56:490.000.01144{{entrezgene}}biogpsusersNo summary provided.pluginpierrot/profile/7481/pierrotpierrotpubliciframehumanexpression000None0.0The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a wide variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on this website spans 63,358 unrelated individuals sequenced as part of various disease-specific and population genetic studies. The ExAC Principal Investigators and groups that have contributed data to the current release are listed here. http://exac.broadinstitute.org/variantshttp://identifiers.org/exac.gene/{{ensemblgene}}2015-04-13 17:51:170.002014-10-21 01:16:271168identifiers.orgbiogpsusersBrowser for exome data from 63,358 unrelated individualspluginasu/profile/3/asuAndrew SupubliciframehumanExome Aggregation Consortium (ExAC) Browser000Truehttp://geneticslab.emory.edu/emvclass/emvclass.php2014-10-23 00:08:34http://geneticslab.emory.edu/emvclass/emvclass.php?approved_symbol={{symbol}}2014-12-09 22:42:180.000.01170geneticslab.emory.edubiogpsusersEmory Genetics Laboratory's Variant Classification Catalogpluginasu/profile/3/asuAndrew SupubliciframehumanEmVClass000NoneThis database contains expression profiles for ~12,000 genes with NCBI GeneID entry across 126 primary human tissues. Expression profiles were processed to identify tissue specificity which is measured by an enrichment score. High enrichment scores mean higher specificity. The enrichment score is comparable between genes, thus allowing ranking of genes in each tissue profiled. Visit the datasets page to see the profiled tissues and genes most highly enriched in these tissues. 2014-12-29 19:06:25http://xavierlab2.mgh.harvard.edu/cgi-bin/DiscoveryDB.py?platform=U133A&genetype=locuslink&dataset=primary&geneinput={{entrezgene}}&submit=Search2014-12-29 19:06:250.000.01175xavierlab2.mgh.harvard.edubiogpsusersexpression profiles for ~12,000 genes with NCBI GeneID entry across 126 primary human tissuespluginasu/profile/3/asuAndrew SupubliciframehumanGene Enrichment Profiler000None2015-06-24 11:17:55{{assembly}}2015-06-24 11:17:550.000.01187{{assembly}}biogpsusersNo summary provided.pluginscm/profile/9200/scmscmpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigwiki000None0.0We introduce Zodiac, a computational tool and resource to integrate existing knowledge about cancer genetic interactions with new information contained in TCGA data. It is an evolution of existing knowledge by treating it as a prior graph, integrating it with a likelihood model derived by Bayesian graphical model based on TCGA data, and producing a posterior graph as updated and data-enhanced knowledge. In short, Zodiac realizes "Prior interaction map + TCGA data → Posterior interaction map." Ref: http://www.ncbi.nlm.nih.gov/pubmed/25956356cancergeneinteractiontcgahttp://compgenome.org/zodiac?Gene_List={{symbol}}2015-09-21 16:13:330.002015-09-21 16:13:331194compgenome.orgbiogpsusersA comprehensive depiction of genetic interactions in cancer by integrating TCGA dataplugincwu/profile/2/cwuChunlei WupubliciframehumannematodeZodiac000None 2016-02-22 00:24:54http://chicken.genomics.org.cn/chicken/jsp/search/gene_search.jsp?field={{symbol}}2016-02-22 00:40:490.000.01214chicken.genomics.org.cnbiogpsusers pluginlilitmaria_/profile/9690/lilitmaria_Lilit Antonyanpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigChicken Variation Database