EviAnn

EviAnn outperforms existing eukaryotic genome annotation packages by building gene exon-intron structures from transcript alignments and protein-sequence homology rather than purely ab initio gene finding techniques, while utilizing considerably less computer time.

Key Features:

• Evidence-based annotation: EviAnn builds gene structures from transcript alignments and protein-sequence homology rather than relying on ab initio gene finding techniques.
• Computational efficiency: EviAnn completes annotation of a mammalian genome in less than an hour on a single multi-core server, utilizing considerably less computer time than comparable packages.
• Data-driven approach: EviAnn strongly utilizes gene expression data from modern sequencing technologies and proteins from well-annotated genomes.

Scientific Applications:

• Eukaryotic genome annotation: EviAnn annotates eukaryotic genomes using transcript and protein evidence, applicable to mammalian and other eukaryotic genomes.
• Comparative annotation benchmarking: EviAnn has been benchmarked against BRAKER3, MAKER2, and FINDER, consistently outperforming these state-of-the-art packages when provided with the same input data.

Methodology:

EviAnn builds the exon-intron structure of genes from transcript alignments or protein-sequence homology.