TDKC (Target Distilled K-mer Classifier): Ultrafast and Memory-Efficient Sequence Classification for Target Pathogen Diagnostics (opens in new tab)

Metagenomic sequencing can identify pathogens from clinical samples without prior knowledge of the causative agent. Yet, as sequencing workflows scale to process thousands of multiplexed samples simultaneously, classifying these samples against massive reference databases creates a significant computational bottleneck. Furthermore, large-scale applications such as screening public sequence repositories remain computationally challenging. Existing metagenomic classifiers are designed for full-...