Evidence map›Paper›PMID 29893890›Full record

ArticleNucleic acids research2018

RNA Framework: an all-in-one toolkit for the analysis of RNA structures and post-transcriptional modifications.

Danny Incarnato, Edoardo Morandi, Lisa Marie Simon, Salvatore Oliviero

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

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  15. Site-Selective Ligand Selection by Mutational Profiling for Covalent RNA Targeting.Angewandte Chemie (International ed. in English) · 2026
    Article
  16. Article
  17. RNA Structure and Its Function.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  18. Article
  19. Article
  20. Control of gene output by intron RNA structure.bioRxiv : the preprint server for biology · 2025
    Article

17 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

4 authors.

Danny IncarnatoItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126 Torino, Italy.
Edoardo MorandiItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126 Torino, Italy.
Lisa Marie SimonItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126 Torino, Italy.
Salvatore OlivieroItalian Institute for Genomic Medicine (IIGM), Via Nizza 52, 10126 Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA is emerging as a key regulator of a plethora of biological processes. While its study has remained elusive for decades, the recent advent of high-throughput sequencing technologies provided the unique opportunity to develop novel techniques for the study of RNA structure and post-transcriptional modifications. Nonetheless, most of the required downstream bioinformatics analyses steps are not easily reproducible, thus making the application of these techniques a prerogative of few laboratories. Here we introduce RNA Framework, an all-in-one toolkit for the analysis of most NGS-based RNA structure probing and post-transcriptional modification mapping experiments. To prove the extreme versatility of RNA Framework, we applied it to both an in-house generated DMS-MaPseq dataset, and to a series of literature available experiments. Notably, when starting from publicly available datasets, our software easily allows replicating authors' findings. Collectively, RNA Framework provides the most complete and versatile toolkit to date for a rapid and streamlined analysis of the RNA epistructurome. RNA Framework is available for download at: http://www.rnaframework.com.

Indexed as

Nucleic Acid ConformationRNA Processing, Post-TranscriptionalAlgorithmsComputational BiologyHigh-Throughput Nucleotide SequencingInternetReproducibility of ResultsRNASequence Analysis, RNASoftwareRNA

Identifiers

PMID29893890
PMCPMC6144828

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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.