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Table 1 Feature comparisons of five miRNA predicting tools

From: miREM: an expectation-maximization approach for prioritizing miRNAs associated with gene-set

 

miREM

CORNA

Geneset2miRNA

ChemiRs

Sylamer

Platform

Web-based

R package

Web-based

Web-based

Web-based

     

standalone

Installation required

No

Yes

No

No

Optional

GUI

Yes

No

Yes

Yes

Yes

Software last update

2017

2013

2009

2015

Unspecified

Organisms supported

Human, mouse

22 species including

6 species including

Human

7 species including

  

human and mouse

human and mouse

 

human and mouse

Reference databases

Diana,

Miranda

mirDB,

Diana,

Unspecified

 

Miranda,

 

Pictar,

Miranda,

 
 

mirDB,

 

PITA,

mirDB,

 
 

Pictar,

 

TargetScan

miRWalk,

 
 

PITA,

  

RNA22,

 
 

RNA22,

  

RNAhybrid,

 
 

TargetScan

  

Pictar(4way),

 
    

Pictar(5way),

 
    

PITA,

 
    

TargetScan

 

Mirbase version

21 (June 2014)

10.0 (August 2007)

11 (April 2008)

21 (June 2014)

Unspecified

Ability to specify

Yes

No

No

Yes

No

database(s)

     

Database last updated

2017

2007

2008

2015

Unspecified

Cross-database query

Yes

No

No

Yes

No

Conserved/ nonconserved

Yes

No

No

No

No

miRNA

     

distinction

     

Input format

List of DEG:

List of DEG:

List of DEG:

List of DEG:

Full gene list

 

text file,

Ensembl

text file,

text file,

ranked by fold

 

Gene Symbol,

 

Gene Symbol,

Gene Symbol,

change

 

RefSeq,

 

RefSeq Protein ID,

Ensembl

 
 

Ensembl,

 

RefSeq Transcript ID,

  
 

UCSC

 

Ensembl,

  
   

UniGene,

  
   

Entrez Gene ID,

  
   

UniProt/Swiss-Prot,

  

Output formats

Tab-delimited file

R list

CSV

CSV

jnlp

 

Scatterplot

    
 

Heatmap

    
 

Phylogenetic miRNA

    
 

classification

    

Show target gene list

Yes

No

Yes

No

No

Algorithm

Hypergeometric

Hypergeometric

Hypergeometirc

Hypergeometirc

Hypergeometirc

 

Expectation

Fisher’s exact test

   
 

Maximization

    
  

Chi-square

   

Detection of

Yes

No

No

No

No

duplicated predictions