Lars Gabriel

Extended Tiberius models outscore Helixer and ANNEVO on all 33 genomes from the five clades all three tools cover, and approach BRAKER3 accuracy in four clades without extrinsic evidence.

Tiberius is a deep learning gene predictor that integrates HMMs with CNNs and LSTMs, achieving high accuracy in mammalian genomes.

BRAKER3 improves eukaryotic genome annotation by integrating RNA-seq, protein data, and statistical models, achieving higher accuracy than previous tools.

The paper sequences and analyzes the genome of the sour cherry cultivar Schattenmorelle to reveal its segmental allopolyploid structure and evolutionary history.

GALBA is a fully automated gene annotation pipeline combining miniprot and AUGUSTUS, achieving high accuracy in large vertebrate genomes and new species.

TSEBRA selects gene predictions from BRAKER1 and BRAKER2 outputs by comparing transcript scores based on RNA-seq and protein evidence, achieving higher accuracy than either pipeline alone.

The paper presents a chromosome-level genome assembly of tetraploid ground cherry using long-read sequencing technology and reports annotated genes and plastid sequences.