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Hilmar Lapp edited this page Mar 19, 2015 · 21 revisions

Use-cases and power-testing for integrating simulation with popgen analysis

Members:

  • Allan Strand (team lead)
  • Michelle DePrenger-Levin
  • Sean Hoban
  • Eric Archer
  • Libby Liggins
  • George Shirreff
  • Christian Parobek

Goals

Create an R package that guides users through the workflow of implementing simulations in population genetics questions. Create accompanying documentation that outlines the questions that simulations can address and discusses issues relevant to choice of initial parameters, simulator type, execution, and summary metrics.

Status

Day 2:

Day 3:

  • Finalized components that would go into simulation workflow.
  • Determined which simulators we would need from users.
  • Creating a "decision tree" function now for suggesting best-suited simulator, skeleton coming together.

Day 4:

  • Building simulators, some in R and some external. Supporting both forward and backward simulation.
  • Working on the front end - gathering parameters from the user.
  • Also working on the tail end - handling different types of statistics with suitable tests.
  • Working on showing distributions.

Products

  • products go here
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