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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, 3400 N Charles St, 21218, Maryland, USA.

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Summary
This summary is machine-generated.

This study introduces Digest, a new open-source bioinformatics tool for efficient genomic sequence digestion using minimizers, modimizers, or syncmers. It offers scalable performance and controlled spacing for various bioinformatics applications.

Keywords:
digestionminimizerssequence analysissyncmers

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Minimizer digestion is crucial for bioinformatics tools like De Bruijn-Graph assembly and sequence classification.
  • Existing tools may lack efficiency or flexibility in genomic sequence digestion.

Purpose of the Study:

  • To introduce a novel open-source tool and library for efficient genomic sequence digestion.
  • To provide a flexible digestion method supporting minimizers, modimizers, and syncmers.

Main Methods:

  • Developed an open-source tool named Digest using C++17 with a Python API.
  • Implemented efficient data structures for scalable, multi-threaded processing.
  • Enabled production of digests with controlled spacing between elements.

Main Results:

  • Digest facilitates efficient digestion of genomic sequences.
  • The tool demonstrates good scalability across multiple threads.
  • Digests can be generated with expected spacings, enhancing usability.

Conclusions:

  • Digest offers an efficient and flexible solution for genomic sequence digestion in bioinformatics.
  • The open-source nature and Python API promote wider adoption and integration.
  • This tool supports advanced sequence analysis tasks requiring precise genomic digests.