DIAMOND2GO: rapid Gene Ontology assignment and enrichment detection for functional genomics

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Functional annotation of genes and proteins is crucial for understanding biological systems.
• Existing tools can be slow for large-scale genomic datasets.
• Accurate and rapid assignment of Gene Ontology (GO) terms is essential.

Purpose of the Study:

• To introduce DIAMOND2GO (D2GO), a high-speed toolset for gene and protein functional annotation.
• To leverage the speed of DIAMOND for rapid assignment of GO terms.
• To provide an enrichment analysis tool for identifying overrepresented GO terms.

Main Methods:

• Utilizes DIAMOND for ultra-fast sequence alignment (100-20,000x faster than BLAST).
• Maps GO terms from the NCBI non-redundant database to query sequences.
• Includes an enrichment analysis module for comparative genomics.

Main Results:

• D2GO assigned over 2 million GO terms to 98% of human protein isoforms in under 13 minutes.
• Demonstrated substantial differences in annotation output compared to Blast2GO and eggNOG-mapper.
• Highlighted the potential for improved annotation coverage by using multiple tools.

Conclusions:

• D2GO offers a significant speed improvement for functional annotation of large biological datasets.
• The tool provides efficient GO term assignment and enrichment analysis.
• Open-source availability encourages widespread adoption and further development.