Evidence map›Paper›PMID 29904019›Full record

ArticleGenes2018

Automated Recognition of RNA Structure Motifs by Their SHAPE Data Signatures.

Pierce Radecki, Mirko Ledda, Sharon Aviran

Abstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

3 authors.

Pierce RadeckiBiomedical Engineering Department and Genome Center, University of California Davis, Davis, CA 95616, USA. peradecki@ucdavis.edu.
Mirko LeddaBiomedical Engineering Department and Genome Center, University of California Davis, Davis, CA 95616, USA. maledda@ucdavis.edu.ORCID 0000-0001-5089-7862
Sharon AviranBiomedical Engineering Department and Genome Center, University of California Davis, Davis, CA 95616, USA. saviran@ucdavis.edu.ORCID 0000-0003-1872-9820

Funding

Methods for RNA structural analysis using computation and structure mapping experR00HG006860 · NHGRI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI AVIRAN, SHARON · 2014 to 2016
$725k
NHGRI NIH HHS R00 HG006860
6 · The paper itself

Abstract

High-throughput structure profiling (SP) experiments that provide information at nucleotide resolution are revolutionizing our ability to study RNA structures. Of particular interest are RNA elements whose underlying structures are necessary for their biological functions. We previously introduced

Indexed as

HIVHMM-GMMmachine learningRNA structureRRESHAPEstructure probing

Identifiers

PMID29904019
PMCPMC6027059

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.