Evidence map›Paper›PMID 36437740›Full record

ArticlePlant physiology2023

miRador: a fast and precise tool for the prediction of plant miRNAs.

Reza K Hammond, Pallavi Gupta, Parth Patel, Blake C Meyers

Abstract read
In one paragraph

Article in Plant physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Regulatory Landscapes of Non-Coding RNAs During Drought Stress in Plants.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Premeiotic 24-nt phasiRNAs are present in theProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Premeiotic 24-nt phasiRNAs are present in thebioRxiv : the preprint server for biology · 2024
    Article
  8. Article
  9. Article
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

4 authors.

Reza K HammondCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware 19714, USA.ORCID 0000-0002-7375-8563
Pallavi GuptaMU Institute for Data Science and Informatics, University of Missouri, Columbia, Columbia, Missouri 65211, USA.ORCID 0000-0003-0146-239X
Parth PatelCenter for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware 19714, USA.ORCID 0000-0002-0195-3933
Blake C MeyersDonald Danforth Plant Science Center, St. Louis, Missouri 63132, USA.ORCID 0000-0003-3436-6097

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant microRNAs (miRNAs) are short, noncoding RNA molecules that restrict gene expression via posttranscriptional regulation and function in several essential pathways, including development, growth, and stress responses. Accurately identifying miRNAs in populations of small RNA sequencing libraries is a computationally intensive process that has resulted in the misidentification of inaccurately annotated miRNA sequences. In recent years, criteria for miRNA annotation have been refined with the aim to reduce these misannotations. Here, we describe miRador, a miRNA identification tool that utilizes the most up-to-date, community-established criteria for accurate identification of miRNAs in plants. We combined target prediction and Parallel Analysis of RNA Ends (PARE) data to assess the precision of the miRNAs identified by miRador. We compared miRador to other commonly used miRNA prediction tools and found that miRador is at least as precise as other prediction tools while being substantially faster than other tools. miRador should be broadly useful for the plant community to identify and annotate miRNAs in plant genomes.

Indexed as

MicroRNAsGene Expression Regulation, PlantGenome, PlantHigh-Throughput Nucleotide SequencingPlantsRNA, PlantSequence Analysis, RNAMicroRNAsRNA, Plant

Identifiers

PMID36437740
PMCPMC9922418

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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.