miRDis specifications

Information


Unique identifier OMICS_14812
Name miRDis
Alternative name microRNA Discovery
Interface Web user interface
Restrictions to use None
Input data Raw data
Input format FASTQ
Output data Four types of results including summary, identified candidates (lists of annotated known miRNAs, novel miRNAs, other noncoding miRNAs and exogenous miRNAs), annotation (details of each entry) and differential analysis, respectively.
Programming languages Javascript
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Juan Cui <>

miRDis article

miRDis citation

2013
PMCID: 3564680

[…] [46]. the near perfectly matched (up to two mismatched) sequences were considered to be known mirna [47]. those which could not be annotated were used to predict putative novel mirna by the software microrna discovery by deep sequencing (mireap) <http://sourceforge.net/projects/mireap>, developed by the beijing genome institute (bgi, china)., to identify putative novel mirnas, the small […]

miRDis institution(s)
Department of Computer Science and Engineering, Systems Biology and Biomedical Informatics (SBBI) Laboratory, University of Nebraska-Lincoln, Lincoln, NE, USA
miRDis funding source(s)
This work was supported by The National Institutes of Health funded COBRE grant (grant number 1P20GM104320), UNL Food For Health seed grant and the Tobacco Settlement Fund as part of the Cui’s startup grant support.

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