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Updated: Jun 1, 2025

In vitro Digestion of Emulsions in a Single Droplet via Multi Subphase Exchange of Simulated Gastrointestinal Fluids
Published on: November 18, 2022
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.
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.
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.
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