therapeutic action: Improved diagnostic accuracy through contamination-free genomic data

Contamination of fungal genomes of Onygenaceae (Phylum Ascomycota) in public databases: incidence, detection, and impact

Scientists found that many fungal genome sequences stored in public databases contain unwanted bacterial DNA that can interfere with research results. They developed a method to identify and remove this contamination using related high-quality fungal genomes as reference. After cleaning four contaminated genomes, the quality improved significantly and the contamination dropped from 5-12% to below 3%, demonstrating that careful screening is essential for reliable genetic research.

Read More »
Scroll to Top