ProkBERT-mini-promoter is an open model for classifying nucleotide DNA sequences and predicting promoters. It can be loaded locally with Transformers, PyTorch, and Safetensors, with notebook integrations for Google Colab and Kaggle.
In the Other AI space, Prokbert Mini Promoter takes a focused approach. It focuses on predicting promoter regions and classifying genomic DNA sequences without training a model from scratch. It is built as an open-source project for bioinformatics researchers and computational genomics developers. Prokbert Mini Promoter is available on the web and the command line, and it can be self-hosted.
It is developed by Neural Bioinformatics Research Group, and it first shipped in 2023. The project is developed in the open on GitHub with 22 stars. Among its 8 catalogued features are promoter prediction, DNA sequence classification, and sequence embeddings.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match