Software

Our lab has written widely used software in microbial genomics such as skani (Nature Methods, 2023), sylph (Nature Biotechnology, 2024), and myloasm (Nature Biotechnology, 2026).

Below is a complete list of software written directly by lab members or supervised by our lab.

savont GitHub
Amplicon sequence variants (ASVs) from modern long-read amplicon sequencing.
6.8k conda downloads
bioRxiv, 2026
myloasm Docs GitHub
De novo long-read metagenome assembler, even for noisy sequences.
13k conda downloads
Nature Biotechnology, 2026
devider GitHub
Long-read haplotypes for highly heterogeneous sequencing mixtures.
8.1k conda downloads
Genome Research, 2025
fairy GitHub
Fast approximate coverage for metagenomic binning.
8.2k conda downloads
Microbiome, 2024
sylph Docs GitHub
Rapid taxonomic profiling for metagenomic samples through principled k-mer statistics.
38k conda downloads
Nature Biotechnology, 2024
floria GitHub
Microbial strain phasing by flow-based MEC haplotyping.
1.6k conda downloads
Bioinformatics (ISMB), 2024
skani GitHub
Fast and robust average nucleotide identity by sparse approximate seed chaining.
86k conda downloads
Nature Methods, 2023
mora GitHub
Strain-level read reassignment.

Written by Andrew Zheng.

BMC Bioinformatics, 2024
flopp GitHub
Fast polyploid haplotype phasing for long-read data.
2.3k conda downloads
Journal of Computational Biology, 2022
OPERA-MS GitHub
Hybrid metagenomic assembler for long and short reads.

Contributions by Jim during his first internship in computational genomics.

Nature Biotechnology, 2019