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10.1093/bioinformatics/btw113 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw113 C4920123!4920123 !27153717     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27153717 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Bioinformatics 2016 ; 32 (13 ): 2044-6 Nephropedia Template TP {{tp|p=27153717 |t=2016. FRED 2: an immunoinformatics framework for Python |pdf=|usr=}}{{27153717 }} gab.com Text FRED 2: an immunoinformatics framework for Python JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153717 #FOAvip Immunoinformatics approaches are widely used in a variety of applications from basic immunological to applied biomedical research. Complex data integration is inevitable in immunological research and usually requires comprehensive pipelines including multiple tools and data sources. Non-standard input and output formats of immunoinformatics tools make the development of such applications difficult. Here we present FRED 2, an open-source immunoinformatics framework offering easy and unified access to methods for epitope prediction and other immunoinformatics applications. FRED 2 is implemented in Python and designed to be extendable and flexible to allow rapid prototyping of complex applications. AVAILABILITY AND IMPLEMENTATION: FRED 2 is available at http://fred-2.github.io CONTACT: schubert@informatik.uni-tuebingen.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Twit Text FOAVip FRED 2: an immunoinformatics framework for Python ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153717 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27153717 #FOAvip English Wikipedia <ref>{{Cite pmid|27153717 }}</ref> FRED 2: an immunoinformatics framework for Python #MMPMID27153717 Schubert B ; Walzer M ; Brachvogel HP ; Szolek A ; Mohr C ; Kohlbacher O Bioinformatics 2016[Jul]; 32 (13 ): 2044-6 PMID27153717 show ga Immunoinformatics approaches are widely used in a variety of applications from basic immunological to applied biomedical research. Complex data integration is inevitable in immunological research and usually requires comprehensive pipelines including multiple tools and data sources. Non-standard input and output formats of immunoinformatics tools make the development of such applications difficult. Here we present FRED 2, an open-source immunoinformatics framework offering easy and unified access to methods for epitope prediction and other immunoinformatics applications. FRED 2 is implemented in Python and designed to be extendable and flexible to allow rapid prototyping of complex applications. AVAILABILITY AND IMPLEMENTATION: FRED 2 is available at http://fred-2.github.io CONTACT: schubert@informatik.uni-tuebingen.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |*Software [MESH] |Computational Biology/*methods [MESH] |Epitopes, T-Lymphocyte/*chemistry [MESH] |Humans [MESH] |Information Storage and Retrieval [MESH]FRED 2: an immunoinformatics framework for Python (epmc).pdf DeepDyve Pubget Overpricing