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Fast and flexible minimizer digestion with digest.

Alan Zheng1, Ishmeal Lee1, Vikram S Shivakumar1

  • 1Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, United States.

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This summary is machine-generated.

A new open-source tool called Digest efficiently processes genomic sequences using minimizer, modimizer, or syncmer digestion. This bioinformatics tool is designed for scalability and speed in sequence analysis.

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Area of Science:

  • Bioinformatics and Computational Biology
  • Genomic Data Analysis
  • Sequence Analysis

Background:

  • Minimizer digestion is a key technique in bioinformatics tools.
  • Applications include de Bruijn graph assembly and sequence classification.
  • Efficient sequence processing is crucial for large genomic datasets.

Purpose of the Study:

  • To introduce a new open-source tool and library for efficient genomic sequence digestion.
  • To provide a flexible tool supporting minimizers, modimizers, and syncmers.
  • To enhance the performance of bioinformatics pipelines.

Main Methods:

  • Developed an open-source tool named Digest.
  • Implemented in C++17 with a Python API and Rust bindings.
  • Utilizes efficient data structures for scalable multi-threaded processing.

Main Results:

  • Digest facilitates efficient digestion of genomic sequences.
  • The tool supports minimizers, modimizers, and syncmers.
  • Achieves expected spacings between digested elements and scales well with threads.

Conclusions:

  • Digest is a valuable open-source resource for bioinformatics.
  • It offers efficient and scalable sequence digestion capabilities.
  • The tool supports various digestion strategies for diverse applications.