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Updated: Sep 17, 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, Baltimore, MD 21218, United States.
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.
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.
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