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Updated: Aug 14, 2025

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An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
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Protein-to-genome alignment with miniprot.
Heng Li1,2
1Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Bioinformatics (Oxford, England)
|January 17, 2023
Summary
We developed miniprot, a fast protein-to-genome alignment tool. It uses advanced algorithms to significantly speed up gene annotation for non-model organisms.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Protein-to-genome alignment is essential for gene annotation, especially in non-model organisms.
- Existing tools are outdated, inefficient, and struggle with large-scale genomic and protein data.
Purpose of the Study:
- To introduce miniprot, a novel and efficient protein-to-genome alignment tool.
- To address the limitations of current alignment software in terms of speed and scalability.
Main Methods:
- Miniprot integrates k-mer sketching for rapid candidate identification.
- It employs vectorized dynamic programming for accurate sequence alignment.
- The tool is designed for high-throughput analysis of large genomic and protein datasets.
Main Results:
- Miniprot demonstrates a speed increase of tens of times compared to existing tools.
- It achieves comparable accuracy to established methods on real-world data.
- The new aligner effectively handles the rapid growth of genomic and protein databases.
Conclusions:
- Miniprot offers a significant advancement in protein-to-genome alignment efficiency.
- It provides a scalable solution for gene annotation in the era of big genomic data.
- The tool is readily available for researchers to enhance their annotation pipelines.
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