David Danko

The paper introduces BDXR, a method for antimicrobial resistance prediction, achieving high accuracy across six species-drug pairs in the CAMDA 2026 challenge.

XTree aligns sequencing reads to large genome databases efficiently and accurately, outperforming existing tools in precision and recall.

The paper introduces BDXR, a tool for predicting antimicrobial resistance from whole genome sequencing, achieving high accuracy in the CAMDA 2025 challenge.

Blackbird improves structural variant detection using synthetic and low-coverage long-reads, achieving comparable performance to high-coverage tools with less data.

This paper introduces a dengue fever forecasting model for Brazil using multimodal data, achieving accurate monthly predictions up to 6 months ahead.

Ariadne deconvolves synthetic long read data using assembly graphs to improve taxonomic classification and de novo assembly of complex populations.

CAMP provides a modular metagenomics analysis system that enables scalable, extensible workflows with integrated data visualization and reporting.

This study uses rapid diagnostics and metatranscriptomics to analyze SARS-CoV-2 infection, revealing viral evolution, host responses, and drug interactions in NYC samples.

KrakenLinked improves taxonomic classification of metagenomic linked-reads by combining tree pruning and taxa promotion algorithms, reducing false identifications compared to short reads.

Minerva deconvolves barcoded reads in metagenomics to improve taxonomic assignments and sequence clustering without a reference genome.

This study benchmarks eleven metagenomic classifiers using 846 species and evaluates strategies to reduce false positives in taxonomic classification.