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10.1186/s13073-015-0240-5 http://scihub22266oqcxt.onion/10.1186/s13073-015-0240-5 C4653878!4653878!26589293     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 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 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genome+Med 2015 ; 7 (ä): ä Nephropedia Template TP {{tp|p=26589293|t=2015. TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression |pdf=|usr=}}{{26589293}} gab.com Text TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression JO: Genome Med http://www.kidney.de/pget.php?&tw=1&pmid=26589293 #FOAvip Human cancer cell lines are an important resource for research and drug development. However, the available annotations of cell lines are sparse, incomplete, and distributed in multiple repositories. Re-analyzing publicly available raw RNA-Seq data, we determined the human leukocyte antigen (HLA) type and abundance, identified expressed viruses and calculated gene expression of 1,082 cancer cell lines. Using the determined HLA types, public databases of cell line mutations, and existing HLA binding prediction algorithms, we predicted antigenic mutations in each cell line. We integrated the results into a comprehensive knowledgebase. Using the Django web framework, we provide an interactive user interface with advanced search capabilities to find and explore cell lines and an application programming interface to extract cell line information. The portal is available at http://celllines.tron-mainz.de.Electronic supplementary material: The online version of this article (doi:10.1186/s13073-015-0240-5) contains supplementary material, which is available to authorized users. Twit Text FOAVip TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression ????Genome Med http://www.kidney.de/pget.php?&tw=1&pmid=26589293 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26589293 #FOAvip English Wikipedia <ref>{{Cite pmid|26589293}}</ref> TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression #MMPMID26589293 Scholtalbers J; Boegel S; Bukur T; Byl M; Goerges S; Sorn P; Loewer M; Sahin U; Castle JC Genome Med 2015[]; 7 (ä): ä PMID26589293show ga Human cancer cell lines are an important resource for research and drug development. However, the available annotations of cell lines are sparse, incomplete, and distributed in multiple repositories. Re-analyzing publicly available raw RNA-Seq data, we determined the human leukocyte antigen (HLA) type and abundance, identified expressed viruses and calculated gene expression of 1,082 cancer cell lines. Using the determined HLA types, public databases of cell line mutations, and existing HLA binding prediction algorithms, we predicted antigenic mutations in each cell line. We integrated the results into a comprehensive knowledgebase. Using the Django web framework, we provide an interactive user interface with advanced search capabilities to find and explore cell lines and an application programming interface to extract cell line information. The portal is available at http://celllines.tron-mainz.de.Electronic supplementary material: The online version of this article (doi:10.1186/s13073-015-0240-5) contains supplementary material, which is available to authorized users. äTCLP: an online cancer cell line catalogue integrating HLA type, predi(epmc).pdf DeepDyve Pubget Overpricing