Summer 2021: Difference between revisions

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==Project 2. HIV compartmentalized evolution==
==Project 2. HIV compartmentalized evolution==
* Participants
* Participants
** Lily
* Questions and goals
** Do HIV evolve cell type tropisms within the host? Specifically, the Neural(N)-tropism vs T-cell(T)-tropism?
** Build a classifier of N-tropism HIV subtypes
** A presentation for an HIV conference in October
* Reading list
* Reading list
** HIV compartmentalized evolution: [https://retrovirology.biomedcentral.com/articles/10.1186/s12977-014-0065-0 Evering et al (2014)]
** HIV compartmentalized evolution: [https://retrovirology.biomedcentral.com/articles/10.1186/s12977-014-0065-0 Evering et al (2014)]
* Data sets
** ~500 sequences of env genes from 15 patients
** 2nd time point single-cell genome sequences for some of the patients
** Experimentally verified N-tropism subtypes
* Approach
** Evolutionary mechanisms: mutation, recombination, and test of adaptive selection
** Evolutionary rates & signature (BEAST)


==Project 3. Natural Language models of proteins==
==Project 3. Natural Language models of proteins==

Revision as of 03:14, 2 June 2021

Project 1. Borrelia genomics

  • Participants
  • Questions & Goals:
    • Upgrade database, genome pipeline, and website
    • Evolution of
  • Reading list

Project 2. HIV compartmentalized evolution

  • Participants
    • Lily
  • Questions and goals
    • Do HIV evolve cell type tropisms within the host? Specifically, the Neural(N)-tropism vs T-cell(T)-tropism?
    • Build a classifier of N-tropism HIV subtypes
    • A presentation for an HIV conference in October
  • Reading list
  • Data sets
    • ~500 sequences of env genes from 15 patients
    • 2nd time point single-cell genome sequences for some of the patients
    • Experimentally verified N-tropism subtypes
  • Approach
    • Evolutionary mechanisms: mutation, recombination, and test of adaptive selection
    • Evolutionary rates & signature (BEAST)

Project 3. Natural Language models of proteins

  • Participants
  • Questions & Goals
  1. Learn, implement, and compare the existing tools
  2. Fine-tuning for OspC, to be integrated with the centroid algorithm