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Bacteria and Archaea Representation using Bidirectional Embeddings for Taxonomic classification

Project description

https://github.com/houndry/barbet/blob/main/docs/images/barbet-banner.jpg?raw=true

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Installation

Install using pip:

pip install git+https://github.com/houndry/barbet.git

Usage

See the options for making inferences with the command:

barbet --help

Run

barbet --input GCA_000006945.2.fna --output-dir outputs

Or using the large model:

barbet --input GCA_000006945.2.fna --output-dir outputs-large --large

Training

You can train the model on releases from GTDB or your own custom dataset. See the instructions in the documentation for preprocessing and training.

Credits

Robert Turnbull, Mar Quiroga, Gabriele Marini, Torsten Seemann, Wytamma Wirth

For more information contact: <wytamma.wirth@unimelb.edu.au>

Created using torchapp (https://github.com/rbturnbull/torchapp).

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