# KMC 3: counting and manipulating k-mer statistics

arXiv: https://arxiv.org/abs/1701.08022 · HTML: https://mlsanity.com/paper/1701.08022/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jan 2017.

## Built on by (most cited first, 2 of 2)

- [Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions](https://mlsanity.com/paper/2107.03383/) (2021)
- [CRUISE: Vision-Language Model-Guided Uncertainty-Aware Cross-Modal Sensor Fusion for Robust Autonomous Driving](https://mlsanity.com/paper/2608.09202/) (2026)

## Abstract (arXiv)

Summary: Counting all k-mers in a given dataset is a standard procedure in many bioinformatics applications. We introduce KMC3, a significant improvement of the former KMC2 algorithm together with KMC tools for manipulating k-mer databases. Usefulness of the tools is shown on a few real problems. Availability: Program is freely available at http://sun.aei.polsl.pl/REFRESH/kmc. Contact: sebastian.deorowicz@polsl.pl