Sign in
BioinformaticsBioinformatics
Peer-reviewed journal article

Kmer-db: instant evolutionary distance estimation

Sebastian DeorowicziD, Adam GudyśiD, Maciej DługosziD, Marek KokotiD, Agnieszka DanekiD

Abstract

SummaryKmer-db is a new tool for estimating evolutionary relationship on the basis of k-mers extracted from genomes or sequencing reads. Thanks to an efficient data structure and parallel implementation, our software estimates distances between 40,715 pathogens in less than 4 minutes (on a modern workstation), 44 times faster than Mash, its main competitor.\n\nAvailability and Implementationhttps://github.com/refresh-bio/kmer-db\n\nContactsebastian.deorowicz@polsl.pl\n\nSupplementary informationSupplementary data are available at publishers Web site

PDFDOICode

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISHwang '26Liu '22Baire '24Irber '16Cineros '17Pavlichin '22
67% semantic matchBioinformatics
Stephen Hwang, Ben Langmead·bioRxiv·Nov 9, 2026