High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging

High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Intro

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Intro

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High Throughput, High Performance Algorithms for High Resolution Subtomogram Averaging

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  1. 1 Intro
  2. 2 Structures of membrane proteins
  3. 3 Excitation-contraction coupling in skeletal muscle
  4. 4 Sample purification workflow
  5. 5 Structure of RyR1 in native membranes
  6. 6 Structure of RyR1 at the resolution of secondary structure
  7. 7 Comparison to the other reported structures of RyR1
  8. 8 Subtomogram averaging is successful for a class of molecules
  9. 9 Throughput considerations
  10. 10 More options for particle picking with user assistance
  11. 11 Benchmarking tomoBEAR
  12. 12 Optimizing subtomogram averaging
  13. 13 Substack analysis with SUSAN
  14. 14 CTF estimation module in SUSAN - "normalization"
  15. 15 CTF estimation module in SUSAN - "linearization"
  16. 16 3D reconstruction in SUSAN
  17. 17 Benchmarking SUSAN
  18. 18 Conclusions and outlook

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