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The minimizer sketch is crucial for processing large genomic datasets in computational genomics. This survey reviews its history, theory, and applications, aiming to improve future research.

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Area of Science:

  • Computational Genomics
  • Bioinformatics

Background:

  • Large-scale sequence data processing is essential in modern genomics.
  • Classical minimizer sketch methods face computational challenges with increasing data volumes.

Purpose of the Study:

  • To provide a comprehensive review of minimizer sketch techniques in computational genomics.
  • To explore the history, theoretical foundations, and diverse applications of minimizer sketches.
  • To bridge the gap between minimizer sketch theory and practical applications.

Main Methods:

  • Review of historical developments in minimizer sketch algorithms.
  • Analysis of theoretical properties of different minimizer sketch constructions.
  • Survey of applications in read mapping, sequence assembly, and k-mer counting.

Main Results:

  • Minimizer sketches are fundamental to various computational genomics tasks.
  • Recent advancements focus on developing minimizer sketches with improved properties.
  • A wide range of applications demonstrates the utility of minimizer sketches.

Conclusions:

  • Minimizer sketches are a vital tool in computational genomics.
  • Further integration of theory and application is expected to enhance minimizer sketch utility.
  • This survey provides a foundation for future research and development in sequence sketching.