Research Topic: bioinformatics pipeline

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.

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Discovery of novel targets for important human and plant fungal pathogens via an automated computational pipeline HitList

Scientists developed a computer program called HitList that searches through fungal genes to find new targets for antifungal medicines. The program identifies proteins that are unique to harmful fungi and missing from humans and plants, making them ideal drug targets. The study found several promising new protein targets that could lead to development of more effective antifungal drugs to treat both human fungal infections and crop diseases caused by fungi.

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