000None 2016-02-21 23:15:13https://scholar.google.ca/scholar?q={{symbol}}2016-02-21 23:15:130001207scholar.google.cabiogpsuserspluginlilitmaria_/profile/9690/lilitmaria_Lilit Antonyanpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigcholar000None0 geneportalhttp://www.humanmine.org/humanmine/portal.do?class=gene&externalid={{entrezgene}}2016-03-29 13:15:24002016-03-29 13:15:241221www.humanmine.orgbiogpsusersHumanMine integrates many types of data for H. sapiens and M. musculus. You can run flexible queries, export results and analyse listspluginyoyehudi/profile/9760/yoyehudiYo YehudipubliciframehumanHumanMine000None0.0 Allows for visualization of genes in their biological context utilizing TCGA datasetsdata-mininggenomicsmutation-datahttp://www.cbioportal.org/cross_cancer.do2016-04-01 19:37:410.002016-03-25 14:16:521219www.cbioportal.orgbiogpsusersVisualization, analysis and download resource for large-scale cancer genomics data setspluginhkinkead/profile/4701/hkinkeadHeather KinkeadpubliciframehumancBioPortal000None0 HINT (High-quality INTeractomes) is a database of high-quality protein-protein interactions in different organisms. These have been compiled from different sources and then filtered both systematically and manually to remove erroneous and low-quality interactions. HINT can be used for individual queries as well as for batch downloads. protein-interactionhttp://hint.yulab.org/cgi-bin/query.cgi?Protein={{symbol}}&Organism=Human&Interaction=Binary&Publications=&Evidence=All&Evidence2=All&Evidence3=All2016-05-12 14:43:05002016-05-12 14:43:051226hint.yulab.orgbiogpsusersHINT: A database of high-quality protein-protein interactions in different organisms. Combines data from BioGrid, Intact, Mint and others.plugingtsueng/profile/7731/gtsuenggtsuengpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigHINT: High-quality Interactomes000NoneThanks to technological advances in genomics, transcriptomics, proteomics, metabolomics, and related fields, projects that generate a large number of measurements of the properties of cells, tissues, model organisms, and patients are becoming commonplace in biomedical research. In addition, curation projects are making great progress mining biomedical literature to extract and aggregate decades worth of research findings into online databases. Such projects are generating a wealth of information that potentially can guide research toward novel biomedical discoveries and advances in healthcare. To facilitate access to and learning from biomedical Big Data, we created the Harmonizome: a collection of information about genes and proteins from 114 datasets provided by 66 online resources. http://amp.pharm.mssm.edu/Harmonizome/2016-07-11 19:56:10http://amp.pharm.mssm.edu/Harmonizome/gene/{{symbol}}2016-07-11 19:56:100001233amp.pharm.mssm.edubiogpsusersa collection of information about genes and proteins from 114 datasets provided by 66 online resourcespluginasu/profile/3/asuAndrew SupubliciframehumanpigHarmonize1015None0.0CIViC is an expert crowdsourced knowledgebase for Clinical Interpretation of Variants in Cancer (www.civicdb.org) describing the therapeutic, prognostic, and diagnostic relevance of inherited and somatic variants of all types. CIViC is committed to open source code, open access content, public application programming interfaces (APIs), and provenance of supporting evidence to allow for the transparent creation of current and accurate variant interpretations for use in cancer precision medicine.annotationcancerclinicalinterpretationsvariantvariantshttps://civic.genome.wustl.edu/links/entrez/{{entrezgene}}2016-10-29 03:30:450.002016-10-29 03:23:591238civic.genome.wustl.edubiogpsusersClinical Interpretations for Variants in Cancer (www.civicdb.org)pluginmalachig/profile/7397/malachigMalachi GriffithpubliciframehumanCIViC000None0 molecular markers of dysplasia and neoplasia and cancer could have great clinical value in managing cancer risks in UC patients.with the inicidence of ulcerative colitis on the rise ,there is need to develop clinically useful biomarkers capable of identifying and monitoring the subset of UC Patients for developing colorectal cancercancerhttp://biogps.org/plugin/69/genecards/{{unigene}}2018-03-15 09:41:20002018-03-15 09:41:191257biogps.orgbiogpsusersa patient with ulcerative colitis is at greater risk of developing colorectal cancer due to dysplasia and neoplasia associated genes plugindiksha70/profile/11014/diksha70diksha marwahapubliciframehumanbiomarkers for colitis associated colorectal cancer000None 2018-05-22 02:52:59https://integrity.thomson-pharma.com/integrity/xmlxsl/pk_self_reg.show_initial_page2018-05-22 02:52:590001264integrity.thomson-pharma.combiogpsuserspluginShiraki/profile/11131/ShirakiShirakipubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigIntegrity000None 2018-05-28 02:20:41http://www.uniprot.org/2018-05-28 02:20:420001269www.uniprot.orgbiogpsuserspluginShiraki/profile/11131/ShirakiShirakipubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpiguniprot1015None0.0PanDrugs is a feasible method to identify potentially druggable molecular alterations and prioritize drugs to facilitate the interpretation of genomic landscape and clinical decision-making in cancer patients. The approach expands the search of druggable genomic alterations from the concept of cancer driver genes to the druggable pathway context extending anticancer therapeutic options beyond already known cancer genes. The methodology is public and easily integratable with custom pipelines through its programmatic API or its docker image. PanDrugs webtool at http://www.pandrugs.org Article reference: Pineiro-Yanez, E. et al. PanDrugs: a novel method to prioritize anticancer drug treatments according to individual genomic data. Genome Med 10, 41 (2018). PubMed: https://www.ncbi.nlm.nih.gov/pubmed/?term=29848362cancerdruggable-genomedrugsdrug-targetgenomicsmutation-datahttps://www.pandrugs.org/#!/query/?genes={{symbol}}2018-10-24 10:31:390.002018-10-24 09:59:401276www.pandrugs.orgbiogpsusersPanDrugs plugin provides anticancer drug treatments according to individual genomic data (e.g. mutation in your gene of interest).plugingonvader/profile/3503/gonvadergonvaderpubliciframehumanPanDrugs