miRdentify statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Bioinformatics workflows chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

miRdentify specifications

Information


Unique identifier OMICS_05119
Name miRdentify
Software type Package/Module, Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Maintainer


  • person_outline miRdentify Team <>

Publication for miRdentify

miRdentify in publications

 (2)
PMCID: 5080802
PMID: 27782799
DOI: 10.1186/s12864-016-3168-2

[…] breed in serum., we analysed 71 small rna-seq libraries derived from nine tissues (gluteus medius, platysma, masseter muscle, heart, liver, cartilage, bone, total blood and serum) using mirdeep2 and mirdentify tools. known mirnas represented between 2.3 and 62.9 % of the reads in 71 libraries. a total of 683 novel mirnas were identified. breed and tissue type affected the number of mirnas […]

PMCID: 4306309
PMID: 25674563
DOI: 10.3389/fbioe.2015.00007

[…] and define a high-confidence set of sequences (kozomara and griffiths-jones, ). the software used in these studies has, however, not been published, so the methods are not described in detail here., mirdentify has recently been released to the public to analyze massive pooled data (hansen et al., ). it requires that both guide and passenger mirna strands are detected and evaluates 10 features […]


To access a full list of publications, you will need to upgrade to our premium service.

miRdentify institution(s)
Department of Molecular Biology and Genetics (MBG), Aarhus University, Aarhus, Denmark; Denmark Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Aarhus, Denmark

miRdentify reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review miRdentify