Evidence map›Paper›PMID 22135287›Full record

ArticleNucleic acids research2012

miRNEST database: an integrative approach in microRNA search and annotation.

Michał Wojciech Szcześniak, Sebastian Deorowicz, Jakub Gapski, Łukasz Kaczyński, Izabela Makalowska

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 62 citations in OpenAlex.

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  11. A comprehensive view of the web-resources related to sericulture.Database : the journal of biological databases and curation · 2016
    Review
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  13. Article
  14. PNRD: a plant non-coding RNA database.Nucleic acids research · 2015
    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

5 authors at 2 institutions in 1 country.

Michał Wojciech SzcześniakLaboratory of Bioinformatics, Faculty of Biology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznan, Poland. miszcz@amu.edu.pl
Sebastian Deorowicz
Jakub Gapski
Łukasz Kaczyński
Izabela Makalowska
Adam Mickiewicz University in Poznań · PLSilesian University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite accumulating data on animal and plant microRNAs and their functions, existing public miRNA resources usually collect miRNAs from a very limited number of species. A lot of microRNAs, including those from model organisms, remain undiscovered. As a result there is a continuous need to search for new microRNAs. We present miRNEST (http://mirnest.amu.edu.pl), a comprehensive database of animal, plant and virus microRNAs. The core part of the database is built from our miRNA predictions conducted on Expressed Sequence Tags of 225 animal and 202 plant species. The miRNA search was performed based on sequence similarity and as many as 10,004 miRNA candidates in 221 animal and 199 plant species were discovered. Out of them only 299 have already been deposited in miRBase. Additionally, miRNEST has been integrated with external miRNA data from literature and 13 databases, which includes miRNA sequences, small RNA sequencing data, expression, polymorphisms and targets data as well as links to external miRNA resources, whenever applicable. All this makes miRNEST a considerable miRNA resource in a sense of number of species (544) that integrates a scattered miRNA data into a uniform format with a user-friendly web interface.

Indexed as

Databases, Nucleic AcidMolecular Sequence AnnotationAnimalsInternetMicroRNAsRNA, PlantRNA, ViralSystems IntegrationUser-Computer InterfaceMicroRNAsRNA, PlantRNA, Viral

Identifiers

PMID22135287
PMCPMC3245016
OpenAlexW2021200534

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.