Genivaldo Gueiros Z. Silva

The paper benchmarks computational metagenomics software using complex datasets, showing strengths and limitations in assembly, binning, and taxonomic profiling.

FOCUS2 improves metagenomics sequence classification by being more sensitive, faster, and computationally efficient than existing methods.

FORMAL uses k-mer analysis and Monte Carlo simulation to identify organisms in metagenomes and estimate their abundance without relying on read length.