Separating Good Kmers from Bad Kmers in Viral Metagenomics

Learn advanced computational techniques for distinguishing high-quality k-mers from problematic ones in viral metagenomics analysis through this 45-minute conference talk from the Computational Genomics Summer Institute. Explore methodologies for k-mer quality assessment, filtering strategies, and their applications in viral sequence analysis. Discover how proper k-mer selection impacts downstream metagenomics workflows, including viral identification, classification, and abundance estimation. Gain insights into computational challenges specific to viral metagenomics data and practical approaches for improving analysis accuracy by effectively separating signal from noise in k-mer datasets.