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10.1093/database/bav019 http://scihub22266oqcxt.onion/10.1093/database/bav019 C4377087!4377087!25819073     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Database+(Oxford) 2015 ; 2015 (ä): ä Nephropedia Template TP {{tp|p=25819073|t=2015. BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis |pdf=|usr=}}{{25819073}} gab.com Text BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis JO: Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=25819073 #FOAvip BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from 64 cancer types, 6361 patients and 17?469 genes with 9513 of the genes displaying differential expression between tumor and normal samples. In addition to data directly retrieved from RNA-seq data repositories, manual biocuration of publications supplements the available cancer association annotations in the database. All cancer types are mapped to Disease Ontology terms to facilitate a uniform pan-cancer analysis. The BioXpress database is easily searched using HUGO Gene Nomenclature Committee gene symbol, UniProtKB/RefSeq accession or, alternatively, can be queried by cancer type with specified significance filters. This interface along with availability of pre-computed downloadable files containing differentially expressed genes in multiple cancers enables straightforward retrieval and display of a broad set of cancer-related genes.Database URL:http://hive.biochemistry.gwu.edu/tools/bioxpress Twit Text FOAVip BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis ????Database (Oxford) http://www.kidney.de/pget.php?&tw=1&pmid=25819073 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25819073 #FOAvip English Wikipedia <ref>{{Cite pmid|25819073}}</ref> BioXpress: an integrated RNA-seq-derived gene expression database for pan-cancer analysis #MMPMID25819073 Wan Q; Dingerdissen H; Fan Y; Gulzar N; Pan Y; Wu TJ; Yan C; Zhang H; Mazumder R Database (Oxford) 2015[]; 2015 (ä): ä PMID25819073show ga BioXpress is a gene expression and cancer association database in which the expression levels are mapped to genes using RNA-seq data obtained from The Cancer Genome Atlas, International Cancer Genome Consortium, Expression Atlas and publications. The BioXpress database includes expression data from 64 cancer types, 6361 patients and 17?469 genes with 9513 of the genes displaying differential expression between tumor and normal samples. In addition to data directly retrieved from RNA-seq data repositories, manual biocuration of publications supplements the available cancer association annotations in the database. All cancer types are mapped to Disease Ontology terms to facilitate a uniform pan-cancer analysis. The BioXpress database is easily searched using HUGO Gene Nomenclature Committee gene symbol, UniProtKB/RefSeq accession or, alternatively, can be queried by cancer type with specified significance filters. This interface along with availability of pre-computed downloadable files containing differentially expressed genes in multiple cancers enables straightforward retrieval and display of a broad set of cancer-related genes.Database URL:http://hive.biochemistry.gwu.edu/tools/bioxpress äBioXpress: an integrated RNA-seq-derived gene expression database for (epmc).pdf DeepDyve Pubget Overpricing