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10.1093/nar/gku1182 http://scihub22266oqcxt.onion/10.1093/nar/gku1182 C4383976!4383976 !25398898     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25398898 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25398898 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nucleic+Acids+Res 2015 ; 43 (Database issue ): D849-55 Nephropedia Template TP {{tp|p=25398898 |t=2015. CMPD: cancer mutant proteome database |pdf=|usr=}}{{25398898 }} gab.com Text CMPD: cancer mutant proteome database JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=25398898 #FOAvip Whole-exome sequencing, which centres on the protein coding regions of disease/cancer associated genes, represents the most cost-effective method to-date for deciphering the association between genetic alterations and diseases. Large-scale whole exome/genome sequencing projects have been launched by various institutions, such as NCI, Broad Institute and TCGA, to provide a comprehensive catalogue of coding variants in diverse tissue samples and cell lines. Further functional and clinical interrogation of these sequence variations must rely on extensive cross-platforms integration of sequencing information and a proteome database that explicitly and comprehensively archives the corresponding mutated peptide sequences. While such data resource is a critical for the mass spectrometry-based proteomic analysis of exomic variants, no database is currently available for the collection of mutant protein sequences that correspond to recent large-scale genomic data. To address this issue and serve as bridge to integrate genomic and proteomics datasets, CMPD (http://cgbc.cgu.edu.tw/cmpd) collected over 2 millions genetic alterations, which not only facilitates the confirmation and examination of potential cancer biomarkers but also provides an invaluable resource for translational medicine research and opportunities to identify mutated proteins encoded by mutated genes. Twit Text FOAVip CMPD: cancer mutant proteome database ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=25398898 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25398898 #FOAvip English Wikipedia <ref>{{Cite pmid|25398898 }}</ref> CMPD: cancer mutant proteome database #MMPMID25398898 Huang PJ ; Lee CC ; Tan BC ; Yeh YM ; Julie Chu L ; Chen TW ; Chang KP ; Lee CY ; Gan RC ; Liu H ; Tang P Nucleic Acids Res 2015[Jan]; 43 (Database issue ): D849-55 PMID25398898 show ga Whole-exome sequencing, which centres on the protein coding regions of disease/cancer associated genes, represents the most cost-effective method to-date for deciphering the association between genetic alterations and diseases. Large-scale whole exome/genome sequencing projects have been launched by various institutions, such as NCI, Broad Institute and TCGA, to provide a comprehensive catalogue of coding variants in diverse tissue samples and cell lines. Further functional and clinical interrogation of these sequence variations must rely on extensive cross-platforms integration of sequencing information and a proteome database that explicitly and comprehensively archives the corresponding mutated peptide sequences. While such data resource is a critical for the mass spectrometry-based proteomic analysis of exomic variants, no database is currently available for the collection of mutant protein sequences that correspond to recent large-scale genomic data. To address this issue and serve as bridge to integrate genomic and proteomics datasets, CMPD (http://cgbc.cgu.edu.tw/cmpd) collected over 2 millions genetic alterations, which not only facilitates the confirmation and examination of potential cancer biomarkers but also provides an invaluable resource for translational medicine research and opportunities to identify mutated proteins encoded by mutated genes. |*Databases, Protein [MESH] |Cell Line, Tumor [MESH] |Humans [MESH] |Internet [MESH] |Mutant Proteins/*genetics [MESH] |Mutation [MESH] |Neoplasm Proteins/*genetics [MESH] |Neoplasms/*genetics [MESH]CMPD: cancer mutant proteome database (epmc).pdf DeepDyve Pubget Overpricing