Evidence map›Paper›PMID 25566282›Full record

ArticleFrontiers in plant science2014

plantDARIO: web based quantitative and qualitative analysis of small RNA-seq data in plants.

Deblina Patra, Mario Fasold, David Langenberger, Gerhard Steger, Ivo Grosse, Peter F Stadler

Abstract read
In one paragraph

Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. 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

6 authors.

Deblina PatraInstitut für Informatik, Martin-Luther-Universität Halle-Wittenberg Halle (Saale), Germany ; Bioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany.
Mario FasoldBioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany ; ecSeq Bioinformatics Leipzig, Germany.
David LangenbergerBioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany ; ecSeq Bioinformatics Leipzig, Germany.
Gerhard StegerInstitut für Pysikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Germany.
Ivo GrosseInstitut für Informatik, Martin-Luther-Universität Halle-Wittenberg Halle (Saale), Germany ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig, Germany.
Peter F StadlerBioinformatics Group, Department of Computer Science, Interdisciplinary Center for Bioinformatics, University Leipzig Leipzig, Germany ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig, Germany ; Max Planck Institute for Mathematics in the Sciences Leipzig, Germany ; Fraunhofer Institute for Cell Therapy and Immunology Leipzig, Germany ; Department of Theoretical Chemistry of the University of Vienna Vienna, Austria ; Center for RNA in Technology and Health, University of Copenhagen Frederiksberg, Denmark ; Santa Fe Institute Santa Fe, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing techniques have made it possible to assay an organism's entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide free web services to the research community that provide many basic features of a small RNA-seq analysis, including quality control, read normalization, ncRNA quantification, and the prediction of putative novel ncRNAs. DARIO is one such system that so far has been focussed on animals. Here we introduce an extension of this system to plant short non-coding RNAs (sncRNAs). It includes major modifications to cope with plant-specific sncRNA processing. The current version of plantDARIO covers analyses of mapping files, small RNA-seq quality control, expression analyses of annotated sncRNAs, including the prediction of novel miRNAs and snoRNAs from unknown expressed loci and expression analyses of user-defined loci. At present Arabidopsis thaliana, Beta vulgaris, and Solanum lycopersicum are covered. The web tool links to a plant specific visualization browser to display the read distribution of the analyzed sample. The easy-to-use platform of plantDARIO quantifies RNA expression of annotated sncRNAs from different sncRNA databases together with new sncRNAs, annotated by our group. The plantDARIO website can be accessed at http://plantdario.bioinf.uni-leipzig.de/.

Indexed as

expression analysishigh-throughput sequencingmicroRNAncRNAomenon-coding RNAsnoRNAtRNA

Identifiers

PMID25566282
PMCPMC4274896

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.