iRO-3wPseKNC

iRO-3wPseKNC predicts DNA replication origins across multiple yeast species by using a three-window-based pseudo K-tuple nucleotide composition (PseKNC) approach to capture GC asymmetry bias and predict entire DNA duplication regions.

Key Features:

• Three-Window-Based PseKNC Approach: Employs a three-window-based pseudo K-tuple nucleotide composition (PseKNC) methodology to capture genomic features including GC asymmetry bias.
• Comprehensive Coverage: Predicts entire DNA duplication regions rather than only short segments (e.g., 250 or 300 bp).
• Cross-Species Validation: Validated by cross-validation on benchmark datasets from Saccharomyces cerevisiae, Schizosaccharomyces pombe, Kluyveromyces lactis, and Pichia pastoris.

Scientific Applications:

• Replication Origin Identification: Accurate identification of DNA replication origins in yeast genomes to support studies of replication initiation.
• Mechanistic Studies of Replication: Investigation of DNA replication mechanisms and genetic information transmission in yeast.
• GC Asymmetry Analysis: Analysis of GC asymmetry bias and its influence on replication initiation and genome stability.

Methodology:

Uses a three-window-based PseKNC computational representation, integrates sequence composition with structural DNA features, and applies cross-validation on benchmark datasets from the four yeast species mentioned.