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Updated: May 16, 2025

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Reference-Free Variant Calling with Local Graph Construction with ska lo (SKA).

Romain Derelle1,2, Kieran Madon1, Joel Hellewell3

  • 1NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London W2 1PG, UK.

Molecular Biology and Evolution
|April 2, 2025
PubMed
Summary
This summary is machine-generated.

Introducing ska lo, a novel graph-based algorithm for pathogen genomic variant identification. This tool enhances public health surveillance by accurately detecting single-nucleotide polymorphisms, insertions, and deletions in pathogen whole-genome sequencing data.

Keywords:
alignment-freepathogen genomicsreference-freevariant calling

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic variant analysis is crucial for pathogen surveillance.
  • Reference-based methods can be biased and computationally intensive.
  • Existing reference-free methods struggle with sensitivity in high-mutation regions.

Purpose of the Study:

  • To develop a sensitive and efficient algorithm for identifying within-strain genomic variants in pathogens.
  • To overcome limitations of existing reference-free variant-calling approaches.

Main Methods:

  • Developed ska lo, a graph-based algorithm utilizing colored De Bruijn graphs.
  • Implemented variant grouping to capture combinations of variants.
  • Evaluated performance using in silico benchmarking and real-world datasets.

Main Results:

  • ska lo demonstrates high sensitivity in calling single-nucleotide polymorphisms (SNPs).
  • The algorithm successfully detects insertions and deletions.
  • Enables SNP positioning for recombination analyses.

Conclusions:

  • ska lo is a fast, simple, and effective tool for pathogen genomic epidemiology.
  • Expands the utility of reference-free variant-calling methods.
  • Facilitates accurate pathogen surveillance and analysis.