emisbrooke / GENERALIST

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GENERALIST: An efficient generative model for protein sequence families

Authors: Hoda Akl, Brooke Emison, Xiaochuan Zhao , Arup Mondal, Alberto Perez, Purushottam Dixit

Generative Model for protein sequences and generally for categorical data.

What's in this repo?

  • src/

    Contains the source code for GENERALIST , and functions that allow performance assessment.

  • jupyter/

    Contains jupyter notebooks that run the inference, generate new data and run tests on the model.

  • benchmark/

    Contains implementation of published code and other developed code to compare other models (bmdca, ardca, VAE) to GENERALIST.

  • todo.txt

    Contains list of to do items and ideas for this repo.

University of Florida

Physics Department

Laboratory of Computational Biophysics

2022

contact:

Hoda Akl : hodaakl@ufl.edu

Brooke Emison : bemison@ufl.edu

Purushottam Dixit: pdixit@ufl.edu

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