Jaebeom Kim

This paper organizes a community challenge to develop automated virus taxonomy classification tools and evaluates their performance on a combined dataset of expert-curated and metagenomic sequences.

The paper improves metagenomic classification by using spaced metamers, reduced alphabets, and syncmers, enhancing precision and recall while reducing database size and increasing speed.

The paper introduces Metabuli App, a desktop tool for metagenomic taxonomic profiling, offering user-friendly interfaces and local execution without requiring command-line skills or high-performance computing.

COmapper uses long-read sequencing to map meiotic crossovers in Arabidopsis with high resolution, showing comparable accuracy to short-read methods and revealing crossover enrichment at gene promoters.

Metabuli improves metagenomic classification by jointly analyzing DNA and amino-acid sequences, achieving high specificity and sensitivity.