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Setup

Environment

conda env create -f environment.yaml
conda activate vaxseer

MMseq2 is required for aligning sequences.

Data

In data/readme.md.

Model training

In vaxseer/readme.md.

Retrospective evaluation

In evaluation/readme.md.

Models and results

Models are available here.

One could also run the following code to download specific models:

# task: lm (dominance predictor) or/and hi (antigenicity predictor)
# year: from 2012 to 2021
# subtype: a_h3n2 or/and a_h1n1

python download_models_from_dropbox.py --task lm --year 2012 --subtype a_h3n2 --output_dir runs

# To download all models (around 60GB):

python download_models_from_dropbox.py 

Results are available here.

wget https://people.csail.mit.edu/wxsh/vaxseer/results.tar.gz

tar -zxvf results.tar.gz

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