Estimating similarity and distance using FracMinHash
We also present frac-kmc, a fast and efficient FracMinHash sketch generator program. frac-kmc is the fastest known FracMinHash sketch generator, delivering accurate and precise results for cosine similarity estimation on real data. frac-kmc is also the first parallel tool for this task, allowing for speeding up sketch generation using multiple CPU cores - an option lacking in existing serialized tools. We show that by computing FracMinHash sketches using frac-kmc, we can estimate pairwise similarity speedily and accurately on real data. frac-kmc is freely available here: https://github.com/KoslickiLab/frac-kmc/.
Authors
- David Koslicki (ORCID: https://orcid.org/0000-0002-0640-954X)
- Mahmudur Rahman Hera (ORCID: https://orcid.org/0000-0002-5992-9012)
Institutions
- Pennsylvania State University (US)
Publication Details
- Journal
- Algorithms for Molecular Biology
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1186/s13015-025-00276-8
- Citations
- 1
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Institutes of Health