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PromoterAtlas Dataset
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This repository contains the training data used for the PromoterAtlas model, a transformer-based deep learning model for bacterial regulatory sequence analysis.
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Dataset Description
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Content: ~9 million regulatory sequences from over 3,000 gammaproteobacterial species. The sequences were extracted from GenBank files of gammaproteobacterial genomes.
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Format: HDF5 file (sequence_dataset.h5)
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Size: Approximately 2.3 GB
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Usage
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This dataset is primarily intended for training the PromoterAtlas-base model. For access to the different PromoterAtlas models and code, please visit: https://github.com/LucasCoppens/PromoterAtlas
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