Hysen Labsfgumi
High-performance UMI tools for NGS data analysis
fgumi processes UMI tagged sequencing data at high speed
fgumi is a suite of Rust tools from Fulcrum Genomics for working with Unique Molecular Index (UMI) tagged NGS data. It is validated against fgbio and licensed under MIT.
What it does
fgumi is a set of high performance UMI tools for next generation sequencing analysis. The README marks v0.5.0 as production ready, the fgbio parity release, and says its output is validated against fgbio across a range of vendor provided data. The authors now recommend fgumi over fgbio for UMI processing while noting users should still validate on their own data.
How it differs from fgbio
The two tools differ on purpose in a few places. The most visible changes are the MI tag values and the dedup --no-umi mode, which drops fgbio strand of origin split to match Picard MarkDuplicates. The known divergences are written down in a migration guide so teams can map old behavior to the new one.
How to obtain it
fgumi is published on crates.io and documented at docs.rs, and it is also available through Bioconda. The project carries a DOI at Zenodo, 10.5281/zenodo.18702466, so papers can cite it directly. Build and release status are shown through the project continuous integration and download badges.
Editorial conclusion
fgumi is written in Rust, distributed under the MIT license, and carries a Zenodo DOI (10.5281/zenodo.18702466) for citation.
Community notes