Summer 2021: Difference between revisions

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==Project 1. HIV compartmentalized evolution==
==Project 1. Borrelia genomics==
* Participants
* Questions & Goals:
** Upgrade database, genome pipeline, and website
** Evolution of
* Reading list
 
==Project 2. HIV compartmentalized evolution==
* Participants
* Participants
* 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)]


==Project 2. Natural Language models of proteins==
==Project 3. Natural Language models of proteins==
* Participants
* Participants
* Questions & Goals
## Learn, implement, and compare the existing tools
## Fine-tuning for OspC, to be integrated with the centroid algorithm
* Reading list
* Reading list
** Strodthoff et al (2020). Bioinformatics. [https://academic.oup.com/bioinformatics/article/36/8/2401/5698270 UDSMProt: universal deep sequence models for protein classification]. [https://github.com/nstrodt/UDSMProt Source code on Github]
** Strodthoff et al (2020). Bioinformatics. [https://academic.oup.com/bioinformatics/article/36/8/2401/5698270 UDSMProt: universal deep sequence models for protein classification]. [https://github.com/nstrodt/UDSMProt Source code on Github]
** [https://www.pnas.org/content/118/15/e2016239118 Rives et al (2021). PNAS. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.] [https://github.com/facebookresearch/esm Github repository]
** [https://www.pnas.org/content/118/15/e2016239118 Rives et al (2021). PNAS. Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.] [https://github.com/facebookresearch/esm Github repository]

Revision as of 03:03, 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

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