Evidence map›Paper›PMID 23895117›Full record

ArticleGenome biology2013

PARma: identification of microRNA target sites in AGO-PAR-CLIP data.

Florian Erhard, Lars Dölken, Lukasz Jaskiewicz, Ralf Zimmer

Abstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Bioinformatic tools for analysis of CLIP ribonucleoprotein data.Wiley interdisciplinary reviews. RNA · 2017
    Review
  14. Article
  15. Article
  16. Article
  17. Dynamic miRNA-mRNA paradigms: New faces of miRNAs.Biochemistry and biophysics reports · 2015
    Review
  18. Article
  19. Article
  20. Review
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.

Florian Erhard
Lars Dölken
Lukasz Jaskiewicz
Ralf Zimmer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PARma is a complete data analysis software for AGO-PAR-CLIP experiments to identify target sites of microRNAs as well as the microRNA binding to these sites. It integrates specific characteristics of the experiments into a generative model. The model and a novel pattern discovery tool are iteratively applied to data to estimate seed activity probabilities, cluster confidence scores and to assign the most probable microRNA. Based on differential PAR-CLIP analysis and comparison to RIP-Chip data, we show that PARma is more accurate than existing approaches. PARma is available from http://www.bio.ifi.lmu.de/PARma.

Indexed as

ImmunoprecipitationSoftwareAlgorithmsArgonaute ProteinsB-LymphocytesCluster AnalysisHumansMicroRNAsModels, GeneticReproducibility of ResultsRibonucleosidesArgonaute ProteinsMicroRNAsRibonucleosides

Identifiers

PMID23895117
PMCPMC4054675

What OpenQuestion 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 OpenQuestion graph.