Katrina Kalantar

The paper develops an open-source, cloud-based tool for detecting pathogens and antimicrobial resistance genes in metagenomic and whole-genome sequencing data, demonstrating its application across clinical and environmental studies.

CZ ID introduces a long-read metagenomic analysis pipeline, benchmarked against Kraken2, for virus detection and antimicrobial resistance gene identification.

The paper uses metagenomic sequencing to investigate a wildlife mortality event in songbirds, finding no single pathogen but highlighting the utility of metagenomics in such investigations.

IDseq provides a cloud-based metagenomics pipeline for pathogen detection, enabling analysis of mNGS data with tools for taxonomic assignment and novel pathogen identification.

This study uses metagenomic sequencing to identify pathogens in pediatric meningitis cases in Bangladesh, revealing a Chikungunya virus outbreak and other previously undetected causes.

This paper develops a metagenomic sequencing approach to diagnose lower respiratory tract infections by integrating pathogen detection, microbiome analysis, and host transcriptome data.

This study uses metagenomic sequencing and the IDseq platform to identify microbial pathogens in Ugandan children with fever, revealing common pathogens and novel viruses.

This study uses metagenomic sequencing to detect respiratory pathogens in hematopoietic transplant patients, finding it more sensitive than conventional methods and identifying new pathogens.