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Updated: Dec 15, 2025

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Weighted minimizer sampling improves long read mapping.

Chirag Jain¹, Arang Rhie¹, Haowen Zhang²

¹National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Bioinformatics (Oxford, England)

|July 14, 2020

Summary

This summary is machine-generated.

A new weighted-minimizer sampling algorithm, Winnowmap, improves genome sequence comparison accuracy, especially in repetitive regions. It reduces mapping errors by intelligently weighting k-mers, enhancing genome analysis tools.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Minimizer sampling is crucial for rapid genome sequence comparison, enabling efficient analysis of large datasets.
Standard minimizer techniques can lose accuracy in repetitive genomic regions due to discarding frequent k-mers.

Purpose of the Study:

To develop a novel weighted-minimizer sampling algorithm to improve genome sequence comparison accuracy.
To address the limitations of existing methods in handling uneven k-mer distributions in eukaryotic genomes.

Main Methods:

Introduced a weighted-minimizer sampling algorithm that assigns probabilities to k-mers based on their frequency.
Down-weighted frequently occurring k-mers to maintain the minimizer match guarantee while avoiding false positives.
Implemented the algorithm as Winnowmap, building upon the Minimap2 codebase.

Main Results:

Winnowmap reduced the mapping error rate from 0.14% to 0.06% on the human X chromosome.
Achieved a significant reduction in mapping errors within the highly repetitive X centromere, from 3.6% to 0%.
Demonstrated improved mapping accuracy in repetitive regions with sparser sampling, leading to better index compression and competitive runtimes.

Conclusions:

The weighted-minimizer approach effectively balances the need to avoid false positives with maintaining accuracy in repetitive genomic regions.
Winnowmap offers a more accurate and efficient solution for long-read mapping compared to state-of-the-art tools like Minimap2.
The algorithm provides a valuable advancement for large-scale genome sequence comparison and analysis.