Functional yeast promoter sequence design using autoregressive generative models
Authors/Creators
Description
This repository includes the models' checkpoints and the generated synthetic yeast promoter DNA sequences used in the paper titled "Functional yeast promoter sequence design using autoregressive generative models". The ZIP file includes two directories: The first one is named "Model checkpoints" and includes the three variants of the Gen-DNA-TCN model (i.e. Model 1, Model 2, and Model 3), in addition to the Pre-DNA-TCN model. The second directory is named "Yeast promoter sequences" and includes the real training and validation yeast promoter DNA sequences, in addition to the generated synthetic yeast promoter DNA sequences using two different approaches (i.e. different real starting nucleotides [Table 3] and random permutation [Table 4]). For more details on how to load the checkpoints and reproduce the results, please check our GitHub repo at https://github.com/ibrahimsaggaf/Gen-DNA-TCN.
Files
Checkpoints and yeast promoter sequences.zip
Files
(319.5 MB)
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md5:7f3b1058f459cb26500da037003b4177
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Additional details
Software
- Repository URL
- https://github.com/ibrahimsaggaf/Gen-DNA-TCN
- Programming language
- Python
- Development Status
- Active