000None23.0Reagents from Open Biosystems / Thermo -- siRNA, shRNA, cDNAreagentshttp://www.thermoscientificbio.com/search/?term={{EntrezGene}}&referrer=BioGPS2013-03-18 02:16:0323.0192008-05-23 22:29:3964www.thermoscientificbio.combiogpsusersReagents from Open Biosystems / Thermo -- siRNA, shRNA, cDNApluginasu/profile/3/asuAndrew Supubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigOpen Biosystems000human23.0TargetScanS predicts biological targets of miRNAs by searching for the presence of conserved 8mer and 7mer sites that match the seed region of each miRNA. This search page of TargetScan Release 4.2 retrieves predicted regulatory targets of mammalian microRNAs. Targets are predicted using the TargetScanS algorithm and are mostly the same as those published in January 2005 (ref. 1) and presented in previous versions of the TargetScan site (Releases 2.0, 2.1, 3.0, 3.1, and 4.1). In this release, the context scores, calculated as described in reference 2, are provided for each site. Because the context of the site is important for site efficacy, these scores can be used to predict site performance. geneticsmirnahttp://www.targetscan.org/cgi-bin/targetscan/vert_42/view_gene.cgi?taxid=9606&gs={{Symbol}}&showcnc=0&shownc=02011-05-03 22:49:4223.0182009-01-13 15:02:07279www.targetscan.orgbiogpsusersTargetScanS predicts biological targets of miRNAs by searching for the presence of conserved 8mer and 7mer sites that match the seed...pluginasu/profile/3/asuAndrew SupubliciframehumanTargetScan -- miRNA target prediction000True22.0The aGEM Platform provides information to answer three main questions. (1) Which genes are expressed in a given mouse anatomical component? (2) In which mouse anatomical structures is a given gene (or set of genes) expressed? And (3) is there any correlation among these findings? Currently, this Platform includes several well-known mouse resources (EMAGE, GXD, GENSAT, ...), hosting gene expression data mostly obtained from in situ techniques together with a broad set of image-derived annotations.expressiongenehttp://bioinfoinb.cnb.csic.es/VisualGenomics/cgi-bin/aGEMbioGPS.cgi?SERVICE=geneDevelopmentMapSVG&TABLE=normal&ID={{Symbol}}2010-06-09 16:56:4222.0192009-05-22 14:00:46461bioinfoinb.cnb.csic.esbiogpsusersThe aGEM Platform provides information to answer three main questions. (1) Which genes are expressed in a given mouse anatomical...pluginnataliajl/profile/1087/nataliajlNatalia Jiménez Lozanopubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigaGEM000None21.0Yale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers based on the text carried inside the images. Image queries can also be issued against the image caption, as well as words in the associated paper abstract and title. A typical search scenario using YIF is as follows: a user provides few search keywords and the most relevant images are returned and presented in the form of thumbnails. Users can click on the image of interest to retrieve the high resolution image. In addition, the search engine will provide two types of related images: those that appear in the same paper, and those from other papers with similar image content. Retrieved images link back to their source papers, allowing users to find related papers starting with an image of interest. Currently, YIF has indexed over 140 000 images from over 34 000 open access biomedical journal papers. http://bioinformatics.oxfordjournals.org/cgi/content/abstract/24/17/1968literaturehttp://krauthammerlab.med.yale.edu/imagefinder/Home,$Form.direct?formids=query%2CfigureText%2CfigureTextHP%2Ccaption%2Cabstract%2Ctitle%2Ctitle_0&submitmode=&submitname=&figureText=on&query={{Symbol}}2008-09-04 00:17:1521.0202008-09-04 00:17:15129krauthammerlab.med.yale.edubiogpsusersYale Image Finder (YIF) is a publicly accessible search engine featuring a new way of retrieving biomedical images and associated papers...pluginasu/profile/3/asuAndrew Supubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigYale Image Finder000None20.0Wikiprofessional's Concept Web Initiative is a global collaboration to innovate how knowledge is represented and expanded on the Internet. The Internet embodies an enormous information space that continues to expand exponentially in page count but not proportionally in new knowledge. Redundancy of the same facts and opinions within a myriad of web-pages has artificially inflated the size of the Internet. To get a million search results on a query without the ability to separate redundancy of the same information from the incremental knowledge expansions on that query concept is highly inefficient. Within the Concept Web, information is converted to streamlined knowledge where redundancy and newness of idea expansion are properly represented.wikiwikiprofessionalhttp://spaces.wikiprofessional.org/spaces/conceptNavigator?knowletId=uniprot/{{Uniprot}}&referrer=biogps2009-05-28 01:54:2820.0142008-09-05 18:33:55131spaces.wikiprofessional.orgbiogpsusersWikiprofessional's Concept Web Initiative is a global collaboration to innovate how knowledge is represented and expanded on the...pluginasu/profile/3/asuAndrew Supubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigWikiProfessional000True20.0Refseq sequence retrieval tooldownloadrefseqsequencehttp://plugins.biogps.org/cgi-bin/refseq_seq.cgi?id={{EntrezGene}}2011-08-26 23:39:4820.0132008-05-01 16:32:2840plugins.biogps.orgbiogpsusersRefseq sequence retrieval toolpluginasu/profile/3/asuAndrew Supubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigRefseq sequence retrieval000None18.0The GoGene plugin is useful to find relevant Gene Ontology concepts, diseases, and mutations for a gene. GO concepts are taken from NCBI Entrez Gene and more concepts are extracted from gene-related PubMed literature. GoGene also provides links for the gene and its associated concepts and mutations to the literature.annotationdiseasegenegomutationontologytext-mininghttp://projects.biotec.tu-dresden.de/gogene/gogene/Search/Detailed?t=biogps&type=Details&documentIdFragment={{EntrezGene}}2010-05-27 12:49:1218.0162010-05-20 10:48:15708projects.biotec.tu-dresden.debiogpsusersThe GoGene plugin is useful to find relevant Gene Ontology concepts, diseases, and mutations for a gene. GO concepts are taken from NCBI...plugingopubmed/profile/3262/gopubmedgopubmed gopubmedpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigGoGene000human2009-04-27 20:31:36http://www.thebiogrid.org/search.php?keywords={{Symbol}}&searchbutton=GO&organismid=96062011-05-03 22:46:2817.01017.0422www.thebiogrid.orgbiogpsusersNo summary provided.pluginasu/profile/3/asuAndrew SupubliciframehumanBioGRID000human17.0Human genes use various mechanisms to generate different transcripts having different exon content, which in turn generate multiple protein isoforms having differential and even opposite biological activities. To understand the biological consequences of gene transcriptional activity modulation, it is necessary to integrate the capability of genes to generate distinct functional products, particularly because transcriptional stimuli also affect the exon content of their target gene products. For this purpose, we have developed a bioinformatics suite, FAST DB, which defines easily and accurately the exon content of all known transcripts produced by human genes. In addition, several tools have been developed, including a graphical presentation of all gene products, a sequence multi-alignment of all gene transcripts and an in silico PCR computer program. The FAST DB interface also offers extensive links to website resources for promoter analysis and transcription factor binding site prediction, splicing regulatory sequence prediction, as well as 5'- and 3'-untranslated region analysis. FAST DB has been designed to facilitate studies that integrate transcriptional and post-transcriptional events to investigate the expression regulation of human gene products.exonexpressiongeneticssplicinghttp://www.fast-db.com/cgi-bin/keyword_search.pl?nom_gene={{EnsemblGene}}2011-05-03 22:50:4817.0132008-11-27 14:50:40239www.fast-db.combiogpsusersHuman genes use various mechanisms to generate different transcripts having different exon content, which in turn generate multiple...pluginkrzysztof/profile/123/krzysztofChris Wypijewskipubliciframehumanfast DB000human2009-03-24 17:58:56http://www.ensembl.org/Homo_sapiens/Location/View?g={{EnsemblGene}}2011-05-03 22:46:4616.01216.0391www.ensembl.orgbiogpsusersNo summary provided.pluginasu/profile/3/asuAndrew SupubliciframehumanEnsembl Genome Browser (Human)