Evidence map›Paper›PMID 33835436›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Motif Discovery from CLIP Experiments.

Marco Pietrosanto, Gabriele Ausiello, Manuela Helmer-Citterich

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Marco PietrosantoCentre for Molecular Bioinformatics, Department of Biology, University of Rome Tor Vergata, Rome, Italy.
Gabriele AusielloCentre for Molecular Bioinformatics, Department of Biology, University of Rome Tor Vergata, Rome, Italy.
Manuela Helmer-CitterichCentre for Molecular Bioinformatics, Department of Biology, University of Rome Tor Vergata, Rome, Italy. citterich@uniroma2.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA primary and secondary motif discovery is an important step in the annotation and characterization of unknown interaction dynamics between RNAs and RNA-Binding Proteins, and several methods have been developed to meet the need of fast and efficient discovery of interaction motifs. Recent advances have increased the amount of data produced by experimental assays and there is no available method suitable for the analysis of all type of results. Here we present a simple workflow to help choosing the more appropriate method, depending on the starting situation, among the three algorithms that best cover the landscape of approaches. A detailed analysis is presented to highlight the need for different algorithms in different working settings. In conclusion, the proposed workflow depends on the nature of the starting data and on the availability of RNA annotations.

Indexed as

Nucleic Acid ConformationAlgorithmsAnimalsBinding SitesComputational BiologyDatasets as TopicHigh-Throughput Nucleotide SequencingHumansProtein BindingRNARNA-Binding ProteinsSequence Analysis, RNASoftwareRNARNA-Binding ProteinsCLIP-SeqHigh-throughput assayMotif discoveryRNARNA secondary structure

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.