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10.1093/database/bax028 http://scihub22266oqcxt.onion/10.1093/database/bax028 C5467550!5467550!28605766     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Database+(Oxford) 2017 ; 2017 (ä): ä Nephropedia Template TP {{tp|p=28605766|t=2017. GeneHancer: genome-wide integration of enhancers and target genes in GeneCards |pdf=|usr=}}{{28605766}} gab.com Text GeneHancer: genome-wide integration of enhancers and target genes in GeneCards JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=28605766 #FOAvip A major challenge in understanding gene regulation is the unequivocal identification of enhancer elements and uncovering their connections to genes. We present GeneHancer, a novel database of human enhancers and their inferred target genes, in the framework of GeneCards. First, we integrated a total of 434 000 reported enhancers from four different genome-wide databases: the Encyclopedia of DNA Elements (ENCODE), the Ensembl regulatory build, the functional annotation of the mammalian genome (FANTOM) project and the VISTA Enhancer Browser. Employing an integration algorithm that aims to remove redundancy, GeneHancer portrays 285 000 integrated candidate enhancers (covering 12.4% of the genome), 94 000 of which are derived from more than one source, and each assigned an annotation-derived confidence score. GeneHancer subsequently links enhancers to genes, using: tissue co-expression correlation between genes and enhancer RNAs, as well as enhancer-targeted transcription factor genes; expression quantitative trait loci for variants within enhancers; and capture Hi-C, a promoter-specific genome conformation assay. The individual scores based on each of these four methods, along with gene?enhancer genomic distances, form the basis for GeneHancer?s combinatorial likelihood-based scores for enhancer?gene pairing. Finally, we define ?elite? enhancer?gene relations reflecting both a high-likelihood enhancer definition and a strong enhancer?gene association.GeneHancer predictions are fully integrated in the widely used GeneCards Suite, whereby candidate enhancers and their annotations are displayed on every relevant GeneCard. This assists in the mapping of non-coding variants to enhancers, and via the linked genes, forms a basis for variant?phenotype interpretation of whole-genome sequences in health and disease.Database URL:http://www.genecards.org/ Twit Text FOAVip GeneHancer: genome-wide integration of enhancers and target genes in GeneCards ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=28605766 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28605766 #FOAvip English Wikipedia <ref>{{Cite pmid|28605766}}</ref> GeneHancer: genome-wide integration of enhancers and target genes in GeneCards #MMPMID28605766 Fishilevich S; Nudel R; Rappaport N; Hadar R; Plaschkes I; Iny Stein T; Rosen N; Kohn A; Twik M; Safran M; Lancet D; Cohen D Database (Oxford) 2017[]; 2017 (ä): ä PMID28605766show ga A major challenge in understanding gene regulation is the unequivocal identification of enhancer elements and uncovering their connections to genes. We present GeneHancer, a novel database of human enhancers and their inferred target genes, in the framework of GeneCards. First, we integrated a total of 434 000 reported enhancers from four different genome-wide databases: the Encyclopedia of DNA Elements (ENCODE), the Ensembl regulatory build, the functional annotation of the mammalian genome (FANTOM) project and the VISTA Enhancer Browser. Employing an integration algorithm that aims to remove redundancy, GeneHancer portrays 285 000 integrated candidate enhancers (covering 12.4% of the genome), 94 000 of which are derived from more than one source, and each assigned an annotation-derived confidence score. GeneHancer subsequently links enhancers to genes, using: tissue co-expression correlation between genes and enhancer RNAs, as well as enhancer-targeted transcription factor genes; expression quantitative trait loci for variants within enhancers; and capture Hi-C, a promoter-specific genome conformation assay. The individual scores based on each of these four methods, along with gene?enhancer genomic distances, form the basis for GeneHancer?s combinatorial likelihood-based scores for enhancer?gene pairing. Finally, we define ?elite? enhancer?gene relations reflecting both a high-likelihood enhancer definition and a strong enhancer?gene association.GeneHancer predictions are fully integrated in the widely used GeneCards Suite, whereby candidate enhancers and their annotations are displayed on every relevant GeneCard. This assists in the mapping of non-coding variants to enhancers, and via the linked genes, forms a basis for variant?phenotype interpretation of whole-genome sequences in health and disease.Database URL:http://www.genecards.org/ äGeneHancer: genome-wide integration of enhancers and target genes in G(epmc).pdf DeepDyve Pubget Overpricing