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CPLTM (Crystallography Protocol Library)  offers a set of Python modules and classes with uniform APIs (application programming interfaces) interacting with exsiting computational tools and working methods in the field of crystallography.  CPL accommodates existing software packages, such as CNS, Solve, CCP4, and makes them truly integrated by providing automatic trial runs, independent error analysis, data combination, result comparison and other decision-making methods to find optimal protocols to individual data set as well as its specific error content.  CPL hides all specific data formats, commmand scripts, output logs of underlying software.  CPL provides application programmers a set of high-level, automated and intelligent protocols to perform complex crystallographic processes, such as data scaling, substructure determination, NCS symmetry extraction, MAD phasing and structure refinement.  The actual working engines and corresponding logistic details are hidden from users, if not requested.  CPL complements CCL in a way that they can bring  in strengths at different levels in solving specific crystallographic problems.



Software packages supported in CPL
  • CCP4
  • CNS
  • SOLVE
  • SHELXD

CCL/CPL Programmer's Guide and Reference



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