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Enabler Technology for Computational Genomics: Algorithms and Applications

This presentation by Veljko Milutinovic and Nemanja Trifunovic explores advanced enabler technologies in computational genomics, focusing on how various algorithms can be effectively mapped to computational models. It compares Simulated Annealing with Binary Increment methods, delving into their applicability in genomic research. The session also includes a Q&A segment to address key questions on algorithm integration and efficiency in computational tasks. Discover the intersection of theoretical concepts and practical applications in genomics.

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Enabler Technology for Computational Genomics: Algorithms and Applications

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Presentation Transcript

  1. qC = Enabler Technology for Computational Genomics VeljkoMilutinovic and NemanjaTrifunovic

  2. qCvs Turing Machine 1. Both: Skip on Condition2. Simulated Annealing vs Binary Increment What algorithms can be mapped, and how? 2/3

  3. Q&A

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