pRuNA statistics

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Citations per year

Number of citations per year for the bioinformatics software tool pRuNA
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Tool usage distribution map

This map represents all the scientific publications referring to pRuNA per scientific context
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Associated diseases

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pRuNA specifications

Information


Unique identifier OMICS_23841
Name pRuNA
Software type Application/Script
Interface Web user interface
Restrictions to use None
Input data A mRNA sequence as well as its corresponding secondary structure.
Input format FASTA
Output data A list of possible regulating ncRNAs available through the Rfam database.
Computer skills Basic
Stability Stable
Source code URL http://compbio.cs.sfu.ca/nwp-content/software/taverna/interna/interact.tar.gz
Maintained No

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Publication for pRuNA

pRuNA citations

 (6)
library_books

Hamstring injuries: update article☆

2017
PMCID: 5582808
PMID: 28884093
DOI: 10.1016/j.rboe.2017.05.005

[…] observed that prior HS lesion was significantly correlated with risk for a new lesion. HS injury recurrence rates are reported to range from 14% to 63% within two years after the initial injury., , , Pruna et al. hypothesized that the genetic profile could explain why some elite soccer players are more predisposed to injuries than others, as well as the reason for the marked time variation in the […]

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Genetic variation and exercise induced muscle damage: implications for athletic performance, injury and ageing

2016
PMCID: 4983298
PMID: 27294501
DOI: 10.1007/s00421-016-3411-1

[…] significant differences were found in pre-exercise maximum strength compared to the major C-allele (Harmon et al. ), was associated with the magnitude of muscle injury in professional soccer players (Pruna et al. ). According to Hubal et al. (), there were moderate associations between CCL2/CCR2 genotypes and baseline CCL2 activity (as a product of CCL2 expression and the availability of CCR2). Hi […]

library_books

Overweight Is an Independent Risk Factor for Reduced Lung Volumes in Myotonic Dystrophy Type 1

2016
PLoS One
PMCID: 4807837
PMID: 27015655
DOI: 10.1371/journal.pone.0152344

[…] y resistance to the excess weight, and therefore normal values for FFMI are found only in patients with BMI ≥ 25 kg/m2. Muscle atrophy could reflect the progression of muscular involvement in DM1 []. Pruna et al. [] investigated body composition with dual-energy X-ray absorptiometry (DEXA) and found comparable results. However, in their population, only one patient had muscle atrophy with overweig […]

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Muscle wasting in myotonic dystrophies: a model of premature aging

2015
PMCID: 4496580
PMID: 26217220
DOI: 10.3389/fnagi.2015.00125

[…] correlates with age, male gender, length of the tandem repeat sequence and the degree of neuromuscular disability (Tokgozoglu et al., ; Antonini et al., ; Groh et al., ; Cudia et al., ; Kaminsky and Pruna, ). Symptoms involving the smooth muscle, such as dysphagia, constipation, intestinal pseudo-obstruction and diarrhea, are also relatively frequent in DM1 patients (Bujanda et al., ; Bellini et […]

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Association between myosin heavy chain protein isoforms and intramuscular anabolic signaling following resistance exercise in trained men

2015
PMCID: 4387748
PMID: 25626869
DOI: 10.14814/phy2.12268

[…] The authors thank Carleigh H. Boone, Gabriel J. Pruna, Gerald T. Mangine, Ran Wang, Amelia A. Miramonti, Michael B. LaMonica, and Mattan W. Hoffman for their assistance in data collection. […]

library_books

Sarcopenia and Sarcopenic Obesity in Patients with Muscular Dystrophy

2014
PMCID: 4188124
PMID: 25339901
DOI: 10.3389/fnagi.2014.00274

[…] lkers as compared to walkers.A similar alteration in body composition, that is, decrease in lean body mass and increase in FM, was reported in patients with different types of MD (Skalsky et al., , ; Pruna et al., ). Patients with facioscapulohumeral MD had higher fat tissue mass and lower lean tissue mass, despite similar BMI than controls (Skalsky et al., ). Patients with myotonic dystrophy had […]


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pRuNA institution(s)
Lab for Computational Biology, Simon Fraser University, Burnaby, BC, Canada; Department of Genome Sciences, University of Washington, Seattle, WA, USA
pRuNA funding source(s)
Supported by NSERC, Canada Research Chairs Program, Canada Foundation for Innovation and Michael Smith Foundation for Health Research.

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