Skip to content

NCBI-Codeathons/beyond-phylogenies-team5

Repository files navigation

Team 5: Estimating direct transmission in routine clinical sequencing from well sampled locations

List of participants and affiliations:

  • Abhishek Mishra
  • Ashwin Babu
  • Chrispin Chaguza
  • Joshua Levy
  • Karthik G
  • Lax Iyer
  • Tyler Chefin
  • Xiaopeng Bian

Project Goals

  • Benchmark three existing tools and include a simple SNP threshold as a baseline
    • Create simulated dataset and curate real world dataset.
    • Run tools on both datasets.
    • Compare estimates across tools for both datasets.
    • Identify a tool(s) based on estimates and scalability.
  • Run selected tool(s) on dataset from a single well sampled location
  • Visualize estimates

Approach

workflow

We selected three well-used tools to be part of our benchmarking analysis: TransPhylo, outbreaker2, and transcluster. We will include a simple SNP threshold to identify transmission clusters as a baseline.

We simulated an outbreak using TransPhylo and simulated sequences from the resulting phylogenetic tree using phastsim. For a real world dataset, we used all the sequences from Massachusetts, USA from the form of July 2010 from GISAID. This time period covers a well characterized superspreading event (Ref).

Results

ROC ROC subset

Future Work

About

No description or website provided.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published