Evidence map›Paper›PMID 21515631›Full record

ArticleNucleic acids research2011

miRanalyzer: an update on the detection and analysis of microRNAs in high-throughput sequencing experiments.

Michael Hackenberg, Naiara Rodríguez-Ezpeleta, Ana M Aransay

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers.

0numbers the graph read from it
0cells of the map it votes in
151citing 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

151 citing papers in PubMed.

  1. Review
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  6. A Review of the Application of Spatial Transcriptomics in Neuroscience.Interdisciplinary sciences, computational life sciences · 2024
    Review
  7. Article
  8. Review
  9. Exploitation of epigenetic variation of crop wild relatives for crop improvement and agrobiodiversity preservation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Review
  10. Article
  11. Article
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  13. Review
  14. Analysis of the p53/microRNA Network in Cancer.Advances in experimental medicine and biology · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article

91 more citing papers are in PubMed but not listed here.

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.

Michael HackenbergDepartmento de Genética, Facultad de Ciencias, Universidad de Granada, Campus de Fuentenueva s/n, 18071-Granada, Spain. mlhack@gmail.com
Naiara Rodríguez-Ezpeleta
Ana M Aransay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a new version of miRanalyzer, a web server and stand-alone tool for the detection of known and prediction of new microRNAs in high-throughput sequencing experiments. The new version has been notably improved regarding speed, scope and available features. Alignments are now based on the ultrafast short-read aligner Bowtie (granting also colour space support, allowing mismatches and improving speed) and 31 genomes, including 6 plant genomes, can now be analysed (previous version contained only 7). Differences between plant and animal microRNAs have been taken into account for the prediction models and differential expression of both, known and predicted microRNAs, between two conditions can be calculated. Additionally, consensus sequences of predicted mature and precursor microRNAs can be obtained from multiple samples, which increases the reliability of the predicted microRNAs. Finally, a stand-alone version of the miRanalyzer that is based on a local and easily customized database is also available; this allows the user to have more control on certain parameters as well as to use specific data such as unpublished assemblies or other libraries that are not available in the web server. miRanalyzer is available at http://bioinfo2.ugr.es/miRanalyzer/miRanalyzer.php.

Indexed as

SoftwareGenome, PlantHigh-Throughput Nucleotide SequencingMicroRNAsRNA, PlantSequence AlignmentSequence Analysis, RNAMicroRNAsRNA, Plant

Identifiers

PMID21515631
PMCPMC3125730

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.