MIRUMIR statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MIRUMIR

Tool usage distribution map

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

This word cloud represents MIRUMIR usage per disease context

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MIRUMIR specifications


Unique identifier OMICS_12531
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 1.0
Stability Stable
Maintained Yes


  • person_outline Alexey V. Antonov

Publications for MIRUMIR

MIRUMIR citations


RNA Biomarkers: Frontier of Precision Medicine for Cancer

Noncoding RNA
PMCID: 5832009
PMID: 29657281
DOI: 10.3390/ncrna3010009

[…] ition system to curate a dataset of biomarkers with minimized false positive ratio [].Some other biomarker databases are more comprehensive than the above disease-centered databases (). For instance, MIRUMIR includes publicly available miRNA datasets annotated with patients’ survival information. It can be used to predict whether a given miRNA is a potential robust biomarker for survival of cancer […]


Circulating miR 200c and miR 141 and outcomes in patients with breast cancer

BMC Cancer
PMCID: 4405843
PMID: 25885099
DOI: 10.1186/s12885-015-1238-5
call_split See protocol

[…] ously published BC cohorts [,] were retrieved. Selected microRNAs, miR-200c and miR-141 were analysed further to assess whether they were associated with clinic and pathologic factors.The online tool MIRUMIR [] was used to estimate the power of miR-200c and miR-141 tumour expression to serve as potential biomarkers to predict survival of BC patients. MIRUMIR performs survival analyses across sever […]


p53 shapes genome wide and cell type specific changes in microRNA expression during the human DNA damage response

PMCID: 4601526
PMID: 25486198
DOI: 10.4161/15384101.2015.942209

[…] ce genome instability. Further studies to address this hypothesis are warranted.We were able to analyze if the DDR miRNA expression levels in tumor samples predict clinical outcomes in patients using MIRUMIR, a webserver that performs survival analyzes across several available data sets. Around half of the DDR miRNAs exhibited a significant association between their expression levels and patient s […]

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MIRUMIR institution(s)
Medical Research Council Toxicology Unit, Leicester University, Leicester, UK; Department of Experimental Medicine and Surgery, University of Rome, Rome, Italy; Saint-Petersburg State Institute of Technology, Saint-Petersburg, Russia; Department of Biochemistry, University of Leicester, Leicester, UK; Institute of Cytology, Saint-Petersburg, Russia; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
MIRUMIR funding source(s)
This work was supported by the UK Medical Research Council (MRC) and funding from RFBS (10-04-01234), MCB RAS, Russian Federal grants 16.740.11.036 and 11.G34.31.0069.

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