PRICE

PRICE identifies short open reading frames (sORFs) in eukaryotic cells by analyzing ribosome profiling (Ribo-seq) data to detect active translation.

Key Features:

• Noise Modeling: Implements noise modeling algorithms to account for and mitigate experimental noise in Ribo-seq data, improving sORF detection reliability.
• Resolution of Overlapping sORFs: Distinguishes overlapping sORFs to provide precise annotations of potential translation initiation sites and functional ORFs.
• Noncanonical Translation Initiation Detection: Identifies noncanonical translation initiation events beyond canonical start codons.

Scientific Applications:

• Antigen Repertoire Analysis: Through experimental validation using major histocompatibility complex class I (MHC I) peptidomics, identifies sORF-derived peptides that enter the MHC I presentation pathway.
• Functional Genomics: Maps sORFs to reveal previously unrecognized functional elements, informing studies of gene regulation and protein diversity.
• Translational Research: Supports investigation of noncanonical translation processes relevant to development, disease progression, and therapeutic interventions.

Methodology:

Integrates into the GEDI software platform; utilizes ribosome profiling (Ribo-seq) experiments to gather translational activity data; and applies noise modeling algorithms to refine data for sORF identification and characterization.