Evidence map›Paper›PMID 37601971›Full record

ArticleCell genomics2023

Accurate microRNA annotation of animal genomes using trained covariance models of curated microRNA complements in MirMachine.

Sinan Uğur Umu, Vanessa M Paynter, Håvard Trondsen, Tilo Buschmann, Trine B Rounge, Kevin J Peterson, Bastian Fromm

Abstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

22 citing papers in PubMed.

  1. Article
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  4. Copy number evolution of conserved noncoding RNA gene families across mammals.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  5. Article
  6. Interpretation of RNA Universe and Coding Potential Using IntRNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. The complete genome of a songbird.bioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
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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

7 authors.

Sinan Uğur UmuDepartment of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Vanessa M PaynterThe Arctic University Museum of Norway, UiT - The Arctic University of Norway, Tromsø, Norway.
Håvard TrondsenDepartment of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Tilo BuschmannIndependent researcher, Leipzig, Germany.
Trine B RoungeDepartment of Research, Cancer Registry of Norway, Oslo, Norway.
Kevin J PetersonDepartment of Biological Sciences, Dartmouth College, Hanover, NH, USA.
Bastian FrommThe Arctic University Museum of Norway, UiT - The Arctic University of Norway, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The annotation of microRNAs depends on the availability of transcriptomics data and expert knowledge. This has led to a gap between the availability of novel genomes and high-quality microRNA complements. Using >16,000 microRNAs from the manually curated microRNA gene database MirGeneDB, we generated trained covariance models for all conserved microRNA families. These models are available in our tool MirMachine, which annotates conserved microRNAs within genomes. We successfully applied MirMachine to a range of animal species, including those with large genomes and genome duplications and extinct species, where small RNA sequencing is hard to achieve. We further describe a microRNA score of expected microRNAs that can be used to assess the completeness of genome assemblies. MirMachine closes a long-persisting gap in the microRNA field by facilitating automated genome annotation pipelines and deeper studies into the evolution of genome regulation, even in extinct organisms.

Indexed as

evolutiongenome annotationgenomicsmachine learningmicroRNAs

Identifiers

PMID37601971
PMCPMC10435380

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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.