|
|
Overview
miRNet is an easy-to-use tool with comprehensive support for statistical analysis and functional interpretation of
data generated in miRNAs studies. Its main features include:
-
Support for various inputs & statistics: miRNet accepts a list of miRNAs or targets,
or a data table from microarray, RNAseq or
RT-qPCR experiments. miRNet supports differential analysis using limma,
edgeR and HTqPCR methods; enrichment analysis using standard
hypergeometric tests and unbiased random sampling.
-
Comprehensive functional annotation: miRNet integrates data from eleven different
miRNA databases -
TarBase,
miRTarBase,
miRecords,
miRanda (S mansoni only),
miR2Disease,
HMDD,
PhenomiR,
SM2miR,
PharmacomiR,
EpimiR, and
starBase.
It currently supports
nine organisms -
Human,
Mouse,
Rat,
Cattle,
Chicken,
Zebra fish,
Fruit fly,
C. elegans and
S. mansoni.
-
Creation of miRNA-target interaction networks: miRNet provides a wide array of options to allow researchers to
build miRNA-target interaction networks at different confidence levels. The resulting network can be further
optimized using different algorithms to improve visualization and understanding.
-
High-performance network visual analytics: miRNet offers five types of networks on
miRNA-gene,
miRNA-disease,
miRNA-small molecule,
miRNA-lncRNA, and
miRNA-epigenetic modifier.
The system supports zooming, highlighting, point-and-click, drag-and-drop, enrichment analysis, etc. to enable users to
intuitively explore miRNAs, targets and functions.
|
|
