000None 2016-01-27 03:57:16https://www.wikigenes.org/?search={{symbol}}2016-01-27 15:24:550.000.01203www.wikigenes.orgbiogpsusersCommunity-based evaluation of pblications focusing on genes, chemicals, diseases and other biomedical concepts. pluginsergeykalachikov/profile/9047/sergeykalachikovSergey Kalachikovpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigWikiGenes000None0 chickenembryogeishahttp://geisha.arizona.edu/geisha/search.jsp?search=gene+name+or+description&text={{symbol}}2016-02-22 00:45:31002016-02-22 00:45:311215geisha.arizona.edubiogpsusersGeishapluginlilitmaria_/profile/9690/lilitmaria_Lilit Antonyanpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigChicken Embryo Gene Expression Database 000None 2016-02-21 23:20:10https://scholar.google.ca/scholar?q={{unigene}}2016-02-21 23:20:100001208scholar.google.cabiogpsuserspluginlilitmaria_/profile/9690/lilitmaria_Lilit Antonyanpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigscholar000None 2016-02-21 23:20:48https://scholar.google.ca/scholar?q={{uniprot}}2016-02-21 23:20:480001210scholar.google.cabiogpsuserspluginlilitmaria_/profile/9690/lilitmaria_Lilit Antonyanpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigscholar000None0Genome3D provides consensus structural annotations and 3D models for sequences from model organisms, including human. These data are generated by several UK based resources in the Genome3D consortium: SCOP, CATH, SUPERFAMILY, Gene3D, FUGUE, THREADER, PHYRE. In addition Genome3D integrates structural classification data from SCOP and CATH.3dproteinstructurehttp://genome3d.eu/uniprot/id/{{uniprot}}/annotations2016-07-12 19:08:13002016-07-12 19:08:121234genome3d.eubiogpsusersGenome3D provides consensus structural annotations and 3D models for sequences from model organisms, including human.plugincwu/profile/2/cwuChunlei Wupubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigGenome3D000None0 stringstringstring2016-10-31 04:07:29002016-10-31 04:07:291239stringbiogpsuserspluginfjguom/profile/10208/fjguomFengjie Guopubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigstring000None 2018-05-22 02:55:40https://integrity.thomson-pharma.com/integrity/xmlxsl/pk_home.util_home2018-05-22 02:55:400001265integrity.thomson-pharma.combiogpsuserspluginShiraki/profile/11131/ShirakiShirakipubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigIntegrity2000None 2018-08-30 04:20:38http://mobidb.bio.unipd.it/{{uniprot}}2018-08-30 04:24:070.000.01272mobidb.bio.unipd.itbiogpsusersA database of protein disorder and mobility annotations.pluginhazelnut/profile/9751/hazelnuttsai-chen Chenpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigMobiDB000None0 MARRVEL (Model organism Aggregated Resources for Rare Variant ExpLoration) aims to facilitate the use of public genetic resources to prioritize rare human gene variants for study in model organisms. To facilitate the search process and gather all the data in a simple display we extract data from human data bases (OMIM, ExAC, ClinVar, Geno2MP, DGV, and DECIPHER) for efficient variant prioritization. The protein sequences for eight organisms (S. cerevisiae, S. pombe, C. elegans, D. melanogaster, D. rerio, M. musculus, R. norvegicus, and H. sapiens) are aligned with highlighted protein domain information via collaboration with DIOPT. The key biological and genetic features are then extracted from existing model organism databases (SGD, PomBase, WormBase, FlyBase, ZFIN, MGI, and RGD).variant-prioritizationhttp://marrvel.org/search/gene/{{symbol}}2019-02-13 19:00:44002019-02-13 19:00:441277marrvel.orgbiogpsusersModel organism Aggregated Resources for Rare Variant ExpLorationplugingtsueng/profile/7731/gtsuenggtsuengpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigMARRVEL000None0 LncRNA is a class of RNA of more than 200 nt in length which does not encode a protein. LncRNA is involved in a wide range of important cellular processes and plays a key role in human diseases such as cancer, cardiovascular disease, and neurological diseases. Microarray is one of the best tools for analyzing lncRNAs overcoming many of the limitation of low-abundance lncRNAs RNA-seq.lncrnamicroarrayhttps://integraterna.creative-biogene.com/service/lncrna-array-service.html2023-07-03 10:51:46002023-07-03 10:51:461289integraterna.creative-biogene.combiogpsusersLncRNA Microarrayplugincreativebiogene/profile/20554/creativebiogeneWendy Wilsonpubliciframehumanmouseratfruitflynematodezebrafishthale-cressfrogpigLncRNA Microarray