Geneid

Geneid predicts protein-coding genes in large genomic DNA sequences, including whole mammalian chromosomes, using ab initio models trained for eukaryotic species to support genome annotation.

Key Features:

• Ab initio gene-finding: Implements ab initio models to predict exon–intron structures and gene locations in genomic DNA sequences.
• Training and parameters: Supports training on specific datasets and uses pre-configured parameters tailored to various eukaryotic species.
• Large-sequence handling: Designed to analyze extensive DNA sequences, including whole mammalian chromosomes.
• Output formats: Produces results in multiple standard formats for compatibility with downstream software and visualization programs.
• Annotation refinement: Facilitates refinement of partially annotated genomes by providing de novo gene predictions.
• Benchmark performance: Reported to perform comparably or superiorly to other existing gene-finding tools in evaluations.

Scientific Applications:

• Genome annotation: Prediction of protein-coding genes for annotation of eukaryotic genomes.
• Refinement of partial annotations: Improving and extending existing gene annotations in partially annotated genomes.
• Comparative genomics: Providing gene predictions for comparative analyses across multiple species.
• Large-scale genomic analysis: Enabling analysis of whole chromosomes and other extensive genomic regions.

Methodology:

Ab initio gene prediction using models trained on specific datasets with pre-configured parameters for various eukaryotic species, producing outputs in multiple standard formats.