Evidence map›Paper›PMID 36648328›Full record

ArticleBioinformatics (Oxford, England)2023

Protein-to-genome alignment with miniprot.

Heng Li

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 319 papers.

0numbers the graph read from it
0cells of the map it votes in
319citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

319 citing papers in PubMed.

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  9. A Draft Genome Assembly ofPlants (Basel, Switzerland) · 2026
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  18. Chromosome-Level Genome Assembly ofPlants (Basel, Switzerland) · 2026
    Article
  19. Article
  20. Genus-Wide Pan-Genome Analysis ofPlants (Basel, Switzerland) · 2026
    Article

259 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Heng LiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA.ORCID 0000-0003-4874-2874

Funding

Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
NHGRI NIH HHS R01 HG010040NHGRI NIH HHS R01HG010040
6 · The paper itself

Abstract

motivationProtein-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.

resultsHere, 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.

Indexed as

AlgorithmsSoftwareGenomeSequence AlignmentSequence Analysis, DNA

Identifiers

PMID36648328
PMCPMC9869432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.