Machine Learning in Biomedicine
@mlbiomed.bsky.social
Machine Learning in Biomedicine group | Institute for Molecular Medicine Finland @fimm-uh.bsky.social @helsinki.fi | mlbiomed.net
Reposted by Machine Learning in Biomedicine
Excited to share our latest pre-print on profiling DNA adducts with nanopore sequencing! This study was led by Yrjö Koski, who developed a computational toolkit called IonStats, and identified several compound-specific effects caused by genotoxic compounds. www.biorxiv.org/content/10.1...
Compound-specific DNA adduct profiling with nanopore sequencing and IonStats
Covalently bound DNA adducts are mutation precursors that contribute to aging and diseases such as cancer. Accurate detection of adducts in the genome will shed light on tumorigenesis. Commonly used a...
www.biorxiv.org
November 6, 2025 at 11:30 AM
Excited to share our latest pre-print on profiling DNA adducts with nanopore sequencing! This study was led by Yrjö Koski, who developed a computational toolkit called IonStats, and identified several compound-specific effects caused by genotoxic compounds. www.biorxiv.org/content/10.1...