A Discrete-time Markov Process for Predicting Influenza Evolution

Authors (Alphabetical by Last Name)

Emily Brunelli, University of Washington

Gunnar Johnson, University of Washington

Jonathan Mah, University of Washington

Instructor

Sean Griffin, University of Washington

Goals and Motivations

Our goal is to investigate the application of a discrete-time Markov process towards predicting Influenza evolution.

Organization

Subdirectories:

• \Scripts\: Contains the relevant scripts and pipeline used for this analysis.

• \Manuscript\: Contains the relevant files pertaining to the project proposal, presentation, and final paper.

• \Data\: Contains the data used in this analysis.

Input data

This analysis is run on FASTA sequences, which were all downloaded from the NCBI Influenza Virus Resource Database.