Evidence map›Paper›PMID 25303994›Full record

ArticleNucleic acids research2014

ptRNApred: computational identification and classification of post-transcriptional RNA.

Yask Gupta, Mareike Witte, Steffen Möller, Ralf J Ludwig, Tobias Restle, Detlef Zillikens, Saleh M Ibrahim

Open access · goldAbstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 39% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Identification of DNA NEpigenetics & chromatin · 2020
    Article
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Yask GuptaDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany.
Mareike WitteDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany mareike.witte@medizin.uni-luebeck.de.
Steffen MöllerDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany.
Ralf J LudwigDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany.
Tobias RestleInstitute for Molecular Medicine, University of Lübeck, 23538 Lübeck, Germany.
Detlef ZillikensDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany.
Saleh M IbrahimDepartment of Dermatology, University of Lübeck, 23538 Lübeck, Germany saleh.ibrahim@uk-sh.de.
University of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledNon-coding RNAs (ncRNAs) are known to play important functional roles in the cell. However, their identification and recognition in genomic sequences remains challenging. In silico methods, such as classification tools, offer a fast and reliable way for such screening and multiple classifiers have already been developed to predict well-defined subfamilies of RNA. So far, however, out of all the ncRNAs, only tRNA, miRNA and snoRNA can be predicted with a satisfying sensitivity and specificity. We here present ptRNApred, a tool to detect and classify subclasses of non-coding RNA that are involved in the regulation of post-transcriptional modifications or DNA replication, which we here call post-transcriptional RNA (ptRNA). It (i) detects RNA sequences coding for post-transcriptional RNA from the genomic sequence with an overall sensitivity of 91% and a specificity of 94% and (ii) predicts ptRNA-subclasses that exist in eukaryotes: snRNA, snoRNA, RNase P, RNase MRP, Y RNA or telomerase RNA. AVAILABILITY: The ptRNApred software is open for public use on http://www.ptrnapred.org/.

Indexed as

SoftwareComputational BiologyGene Expression RegulationRNA, UntranslatedSequence Analysis, RNASupport Vector MachineRNA, Untranslated

Identifiers

PMID25303994
PMCPMC4267668
OpenAlexW2137682611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.