Sverre Branders

K-MARVEL is a computational tool that accurately identifies antimicrobial resistance genes and mutations from short and long-read sequencing data, outperforming existing methods in speed and accuracy.

Mango enables interactive correlation analysis of tabular biological data to distinguish biases from causal relationships in genomic and transcriptomic datasets.

This paper evaluates URINN, a metagenomic workflow for rapid UTI diagnosis, showing high accuracy in pathogen detection and antibiotic resistance prediction.

This study demonstrates rapid detection of pathogens and antimicrobial resistance genes in urine using Nanopore sequencing within five hours.

Voyager rapidly maps long-read sequencing reads to reference genomes for taxonomic classification, outperforming existing methods in speed and accuracy.