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Michael G Nute

Microbial Community Profiling Protocol with Full-length 16S rRNA Sequences and Emu
Parsnp 2.0: Scalable Core-Genome Alignment for Massive Microbial Datasets
SeqScreen-Nano: a computational platform for rapid, in-field characterization of previously unseen pathogens
Current progress and open challenges for applying deep learning across the biosciences
Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data
KOMB: K-core based de novo characterization of copy number variation in microbiomes
Emu: Species-Level Microbial Community Profiling for Full-Length Nanopore 16S Reads
It takes guts to learn: machine learning techniques for disease detection from the gut microbiome
KOMB: Graph-Based Characterization of Genome Dynamics in Microbial Communities
KOMB: Graph-Based Characterization of Genome Dynamics in Microbial Communities

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