Evidence map›Paper›PMID 19433507›Full record

ArticleNucleic acids research2009

The PREP suite: predictive RNA editors for plant mitochondrial genes, chloroplast genes and user-defined alignments.

Jeffrey P Mower

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 222 papers.

0numbers the graph read from it
0cells of the map it votes in
222citing 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

222 citing papers in PubMed.

  1. A Compact Multipartite Mitogenome ofInternational journal of molecular sciences · 2026
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  10. Comparative chloroplast genomics of sixFrontiers in plant science · 2026
    Article
  11. Structural divergence and molecular adaptation ofFrontiers in plant science · 2026
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  14. Chloroplast Genome Diversity and Marker Potentials of DiverseInternational journal of molecular sciences · 2025
    Article
  15. Characterization of the Mitochondrial Genome ofPlants (Basel, Switzerland) · 2025
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162 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.

Jeffrey P MowerCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE 68588, USA. jmower2@unl.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing alters plant mitochondrial and chloroplast transcripts by converting specific cytidines to uridines, which usually results in a change in the amino acid sequence of the translated protein. Systematic studies have experimentally identified sites of RNA editing in organellar transcriptomes from several species, but these analyses have not kept pace with rate of genome sequencing. The PREP (predictive RNA editors for plants) suite was developed to computationally predict sites of RNA editing based on the well-known principle that editing in plant organelles increases the conservation of proteins across species. The PREP suite provides predictive RNA editors for plant mitochondrial genes (PREP-Mt), for chloroplast genes (PREP-Cp), and for alignments submitted by the user (PREP-Aln). These servers require minimal input, are very fast, and are highly accurate on all seed plants examined to date. PREP-Mt has proved useful in several research studies and the newly developed PREP-Cp and PREP-Aln servers should be of further assistance for analyses that require knowledge of the location of sites of RNA editing. The PREP suite is freely available at http://prep.unl.edu/.

Indexed as

Gene Expression Regulation, PlantGenes, MitochondrialRNA EditingSoftwareChloroplastsGenes, PlantSequence AlignmentSequence Analysis, DNASequence Analysis, RNAUser-Computer Interface

Identifiers

PMID19433507
PMCPMC2703948

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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.