GINGER

GINGER predicts gene structures in higher eukaryotes by integrating RNA-Seq-based, ab initio, and homology-based evidence while handling artifacts in RNA and protein sequence alignments to reconstruct exon, intron, and intergenic regions.

Key Features:

• Evidence integration: Combines RNA-Seq-based, ab initio, and homology-based predictions to produce integrated gene models.
• Alignment artifact handling: Detects and compensates for artifacts in RNA and protein sequence alignments that can distort gene structure inference.
• Dynamic programming scoring: Employs dynamic programming that incorporates appropriately weighted and scored exon, intron, and intergenic regions.
• Gene-type specific processing: Applies distinct prediction processes and filtering criteria for multi-exon and single-exon genes.
• Improved accuracy: Produces enhanced gene- and exon-level prediction accuracy for higher eukaryotes with complex gene architectures.
• Nextflow implementation and resource management: Implemented in Nextflow and leverages computational resource management for application to large-scale genome projects.

Scientific Applications:

• Gene structure annotation: High-accuracy annotation of exon–intron–intergenic architectures in higher eukaryotic genomes.
• Complex-genome projects: Annotation of species with complex gene architectures where standard methods underperform.
• Improved downstream analyses: Provides more accurate gene and exon models to support subsequent biological interpretations and analyses.

Methodology:

Integrates RNA-Seq-based, ab initio, and homology-based evidence; handles artifacts in RNA and protein sequence alignments; applies distinct processes and filtering for multi-exon and single-exon genes; and uses dynamic programming with weighted/scored exon, intron, and intergenic regions, implemented in Nextflow.