UCSC Tiberius Track

The protein-coding genes were predicted with Tiberius in ab initio mode. The soft-masked genome was input only.

Tiberius is a deep learning model that combines a HMM layer with other sequence-to-sequence models (convolutional neural networks, LSTM)

Tiberius was trained on 32 mammalian genomes that did not include any Hominidae (see supplements of below preprint).

Contact

Questions should be directed to Lars Gabriel or Mario Stanke.

Reference

Tiberius: End-to-End Deep Learning with an HMM for Gene Prediction. bioRxiv 2024.07.21.604459; doi: https://doi.org/10.1101/2024.07.21.604459