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Table 4 Quality measures in detecting novel alternative splicing events on the simulated datasets with 5M and 10M reads

From: ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events

  

5M

10M

Tool

Measure

ES

A3

A5

IR

ES

A3

A5

IR

ASGAL

Prec

0.997

0.955

0.905

0.862

0.995

0.938

0.895

0852

 

Rec

0.917

0.741

0.737

0.674

0.963

0.789

0.781

0.681

 

FM

0.955

0.835

0.812

0.756

0.979

0.857

0.834

0.757

SplAdder

Prec

0.885

0.612

0.475

0.299

0.874

0.642

0.495

0.272

 

Rec

0.802

0.884

0.821

0.531

0.848

0.925

0.891

0.521

 

FM

0.841

0.723

0.602

0.383

0.860

0.758

0.637

0.357

rMATS

Prec

0.996

-

-

-

0.997

-

-

-

 

Rec

0.860

-

-

-

0.863

-

-

-

 

FM

0.923

-

-

-

0.925

-

-

-

SUPPA2

Prec

-

-

-

-

-

-

-

-

 

Rec

-

-

-

-

-

-

-

-

 

FM

-

-

-

-

-

-

-

-

  1. Results obtained by ASGAL, SplAdder and rMATS (for which we used STAR to compute the alignments), and SUPPA2 (for which we used Salmon to obtain the transcript quantification) are reported. Precision (Prec), Recall (Rec), and F-Measure (FM) achieved on the simulated datasets in detecting novel alternative splicing events: exon skipping (ES), alternative acceptor site (A3), alternative donor site (A5), and intron retention (IR). A dash “-” means that the considered tool is not designed to detect that type of novel AS events