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Cited by 426

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Protein-to-genome alignment with miniprot

Open access
Li, Heng·2023·Bioinformatics

Abstract

Motivation: Protein-to-genome alignment is critical to annotating genes in non-model organisms. While there are a few tools for this purpose, all of them were developed over 10 years ago and did not incorporate the latest advances in alignment algorithms. They are inefficient and could not keep up with the rapid production of new genomes and quickly growing protein databases. Results: Here, we describe miniprot, a new aligner for mapping protein sequences to a complete genome. Miniprot integrates recent techniques such as k-mer sketch and vectorized dynamic programming. It is tens of times faster than existing tools while achieving comparable accuracy on real data. Availability and implementation: https://github.com/lh3/miniport.

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Metadata

Authors
Li, H.
Venue
Bioinformatics
Published
2023-01-01
Volume
39
Issue
1
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W4316926647
Cited by
426
References
8
FWCI
31.76
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Protein-to-genome alignment with miniprot. https://app.cochat.ai/papers/10.1093/bioinformatics/btad014
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Li, H. (2023). Protein-to-genome alignment with miniprot. Bioinformatics. https://doi.org/10.1093/bioinformatics/btad014

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.