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10.1093/bioinformatics/btw113

http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw113
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C4920123!4920123!27153717
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suck abstract from ncbi

pmid27153717      Bioinformatics 2016 ; 32 (13): 2044-6
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  • 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 PMID27153717show ga
  • Summary: 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.ioContact:schubert@informatik.uni-tuebingen.deSupplementary information:Supplementary data are available at Bioinformatics online.
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