RIBOSS

RIBOSS discovers novel translational events by combining long- and short-read transcriptome and translatome profiling to identify noncanonical ORFs and assess their translational potential against annotated ORFs.

Key Features:

• Noncanonical ORF Detection: RIBOSS identifies noncanonical ORFs including small ORFs located upstream and downstream of annotated ORFs.
• Translational Potential Assessment: RIBOSS evaluates the translational potential of detected noncanonical ORFs against annotated ORFs.
• Cross-Kingdom Versatility: RIBOSS Python modules analyse both prokaryotic and eukaryotic data.
• Integrated Long- and Short-Read Analysis: RIBOSS leverages long-read and short-read data for reference-guided transcriptome assembly.
• Highly Phased Ribosome Profiling Integration: RIBOSS uses highly phased ribosome profiling data for detecting novel translational events in assembled transcriptomes.

Scientific Applications:

• Novel ORF Discovery in Annotated Genomes: RIBOSS identifies noncanonical ORFs with high translational potential in Homo sapiens, Arabidopsis thaliana, and Salmonella enterica.
• Translation Studies in Poorly Annotated Organisms: RIBOSS enables novel translational event detection in organisms with incomplete transcriptome annotations such as S. enterica.
• Bacterial Translatome Analysis: RIBOSS addresses the lack of transcription start and termination site annotations in bacterial genomes that hinders systematic novel ORF discovery in 'untranslated' regions.

Methodology:

Reference-guided transcriptome assembly using long-read and short-read data, followed by detection of novel translational events using highly phased ribosome profiling data on the assembled transcriptome.