000human2010-09-09 16:28:11http://dcc.icgc.org/martreport/?report=gene_report&ensembl_gene_id={{EnsemblGene}}&datasets=hsapiens_gene_ensembl_TSPLung_22011-05-03 22:47:312.022.0795dcc.icgc.orgbiogpsusersNo summary provided.pluginasu/profile/3/asuAndrew SupubliciframehumanInternational Cancer Genome Consortium000None2.0PMP gives access to various models computed by comparative modeling methods provided by different partner sites, and provides access to various interactive services for model building, and quality assessment. proteinstructurehttp://www.proteinmodelportal.org/query/up/{{Uniprot}}2012-04-03 20:41:012.022012-04-03 20:41:00973www.proteinmodelportal.orgbiogpsusersProtein models computed by comparative modeling methods, interactive services for model building, and quality assessmentpluginasu/profile/3/asuAndrew Supubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigProtein Model Portal (PMP)000None2012-05-05 15:52:37http://clipserve.clip.ubc.ca/topfind/proteins/{{Uniprot}}#top2012-05-05 15:52:372.012.0985clipserve.clip.ubc.cabiogpsusersNo summary provided.pluginxachenxi/profile/2005/xachenxiLiping Chenpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigtopfind211humanmouseratfruitflynematodezebrafishGemma is a database and software system for the meta-analysis of gene expression data. Gemma contains data from hundreds of public microarray data sets, referencing hundreds of published papers. Users can search, access and visualize coexpression and differential expression results. 2011-01-18 16:22:27http://www.chibi.ubc.ca/Gemma/gene/showGene.html?ncbiid={{EntrezGene}}2011-05-03 22:46:582.022.0854www.chibi.ubc.cabiogpsusersGemma is a database and software system for the meta-analysis of gene expression data. Gemma contains data from hundreds of public...pluginasu/profile/3/asuAndrew SupubliciframehumanmouseratfruitflynematodezebrafishGemma1015None2.0The BioText Search Engine is a freely available Web-based application that provides biologists with new ways to access the scientific literature. One novel feature is the ability to search and browse article figures and their captions. A grid view juxtaposes many different figures associated with the same keywords, providing new insight into the literature. An abstract/title search and list view shows at a glance many of the figures associated with each article. The interface is carefully designed according to usability principles and techniques. The search engine is a work in progress, and more functionality will be added over time. Availability: http://biosearch.berkeley.edu.literaturesearchhttp://biosearch.berkeley.edu/index.php?submit=Search&view=abstract&sortedby=rel&r=20&action=submit_search&q={{Symbol}}2011-10-04 21:08:362.022011-10-04 21:08:36955biosearch.berkeley.edubiogpsusersThe BioText Search Engineplugincwu/profile/2/cwuChunlei Wupubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigBioText000None2.0This searches for a term on ClinicalTrials.govclinicalclinical-trialstext-mininghttp://clinicaltrials.gov/ct2/results?term={{symbol}}2013-07-16 20:13:392.022013-07-16 20:13:361118clinicaltrials.govbiogpsusersSearch the ClinicalTrials.gov for a term of interestpluginabirch/profile/6986/abirchAlex BirchpubliciframehumanClinicalTrials.gov000humanhttp://dx.doi.org/10.1073/pnas.05010761022008-12-22 17:31:46http://natural.salk.edu/cgi-bin/creb?DB=human&TABLE=Human_CRE_prediction&FIELD=LocusLink&QUERY={{EntrezGene}}2011-05-03 22:46:362.022.0261natural.salk.edubiogpsusershttp://dx.doi.org/10.1073/pnas.0501076102pluginasu/profile/3/asuAndrew SupubliciframehumanCREB Target Gene Database000humanmouserat2010-12-13 05:30:54http://smd.stanford.edu/cgi-bin/source/sourceResult?option=LLID&criteria={{EntrezGene}}&choice=Gene2011-05-03 22:49:312.012.0848smd.stanford.edubiogpsusersNo summary provided.pluginasu/profile/3/asuAndrew SupubliciframehumanmouseratSOURCE000NoneMapping between genotype and phenotype is often non-obvious, complicating prediction of genes underlying specific phenotypes. This problem can be addressed through comparative analyses of phenotypes. We define orthologous phenotypes between organisms (phenologs) based upon overlapping sets of orthologous genes associated with each phenotype. Comparisons of >189,000 human, mouse, yeast, and worm gene-phenotype associations reveal many significant phenologs, including novel non-obvious human disease models. For example, phenologs suggest a yeast model for mammalian angiogenesis defects and an invertebrate model for vertebrate neural tube birth defects. Phenologs thus create a rich framework for comparing mutational phenotypes, identify adaptive reuse of gene systems, and suggest new disease genes. 2012-07-06 21:23:55http://www.phenologs.org//cgi-perl/pog.cgi/response?gene={{EntrezGene}}&refSpecies=12012-07-06 21:23:562.012.01020www.phenologs.orgbiogpsusersOrthologous "phenologs" based upon overlapping sets of orthologous genes associated with each phenotypepluginasu/profile/3/asuAndrew SupubliciframehumanPhenologs000None2.0mass-spectrometryprotein-abundancehttp://pax-db.org/#!search?q={{Symbol}}2013-10-08 16:52:282.022013-10-08 16:52:281133pax-db.orgbiogpsusersNo summary provided.pluginsafw/profile/7219/safwSamuel Williamspubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigPAX-DB Protein Abundance Across Organisms