Summer 2021: Difference between revisions
Jump to navigation
Jump to search
imported>Weigang |
imported>Weigang |
||
Line 2: | Line 2: | ||
* Participants | * Participants | ||
* Questions & Goals: | * Questions & Goals: | ||
** Upgrade database, genome pipeline, and website | ** Upgrade database, genome pipeline, and website (Lia) | ||
** | ** Phylogeography & evolutionary maintenance of divided genome (Saymon) | ||
** vls locus evolution (with simulation) (Lily) | |||
* Reading list | * Reading list | ||
** Schward et al (2021). [https://pubmed.ncbi.nlm.nih.gov/33328355/ Multipartite Genome of Lyme Disease Borrelia: Structure, Variation and Prophages ] | |||
** Stevenson & Seshu (2018). [https://pubmed.ncbi.nlm.nih.gov/29064060/ Regulation of Gene and Protein Expression in the Lyme Disease Spirochete ] | |||
==Project 2. HIV compartmentalized evolution== | ==Project 2. HIV compartmentalized evolution== |
Revision as of 03:22, 2 June 2021
Project 1. Borrelia genomics
- Participants
- Questions & Goals:
- Upgrade database, genome pipeline, and website (Lia)
- Phylogeography & evolutionary maintenance of divided genome (Saymon)
- vls locus evolution (with simulation) (Lily)
- Reading list
- Schward et al (2021). Multipartite Genome of Lyme Disease Borrelia: Structure, Variation and Prophages
- Stevenson & Seshu (2018). Regulation of Gene and Protein Expression in the Lyme Disease Spirochete
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
- HIV compartmentalized evolution: 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
- Participants
- Questions & Goals
- Learn, implement, and compare the existing tools
- Fine-tuning for OspC, to be integrated with the centroid algorithm