EuGene

EuGene predicts genes and produces automated genome annotations for eukaryotic organisms, with a focus on plant, fungal, and algal genomes to support identification of functional regions for downstream transcriptome and proteome analyses.

Key Features:

• Integrative evidence integration: Combines multiple types of evidence to improve gene prediction accuracy.
• Support for eukaryotes: Targets eukaryotic gene prediction with particular emphasis on plant, fungal, and algal genomes.
• Genome-scale annotation: Operates on whole-genome sequencing data to generate genome annotations.
• Use of diverse evidence types: Utilizes experimental, statistical, and other in silico data as input evidence.
• Automated annotation: Produces high-quality automatic annotations for downstream analyses.

Scientific Applications:

• Functional region identification: Delineates coding regions and other functional elements within genomes.
• Gene content analysis: Supports characterization of gene repertoires in plants, fungi, and algae.
• Transcriptome integration: Facilitates interpretation of RNA-seq and other transcriptomic data by providing gene models.
• Proteome support: Enables proteomic analyses by supplying predicted gene and protein-coding sequences.
• Downstream biological interpretation: Aids studies of cellular and organismal biological processes through improved annotations.

Methodology:

Integrates experimental, statistical, and in silico evidence to perform automated gene prediction and genome annotation at the genome scale.