معرفی
Danny Arends is an Associate Professor in Bioinformatics at Northumbria University, Department of Applied Sciences (Health & Life Sciences). He specializes in developing computational methods for quantitative trait locus (QTL) analysis, data visualization, and integration of large biological datasets. Prior to Northumbria, he held postdoctoral positions at Humboldt University in Berlin and completed his PhD in Bioinformatics at the University of Groningen (2014).
Education: BSc in Lifescience & Technology, MSc in Molecular Biology, and PhD in Bioinformatics from the University of Groningen.
Research focuses on creating open-source software tools such as R/qtl for QTL analysis, and contributions to platforms like MOLGENIS. His work integrates genomic, transcriptomic, and metabolic data to uncover genetic factors underlying complex traits like obesity, aging, and metabolic disorders.
Teaching includes live-streamed lectures on R programming, bioinformatics, and data analysis on YouTube/Twitch. He also leads projects in computational biology, including the DaNode web server and HDDspeed tool for disk performance analysis.
Key collaborations involve mouse models (e.g., Berlin Fat Mouse) and cattle genomics, with publications on genetic modulation of lifespan, gut microbiota responses to diets, and genomic loci influencing milk production in cattle.
