Skip to main content

Table 3 Method performance on targeted simulated data

From: Errors in RNA-Seq quantification affect genes of relevance to human disease

Method

Description

Pearson correlation coefficient

Star.htseq. u

STAR, HTSeq (union)

0.58

Star.htseq.ine

STAR, HTSeq (intersection-nonempty)

0.76

Star.htseq. is

STAR, HTSeq (intersection-strict)

0.75

Tophat.htseq. u

TopHat2, HTSeq (union)

0.58

Tophat.htseq.ine

TopHat2, HTSeq (intersection-nonempty)

0.75

Tophat.htseq. is

TopHat2, HTSeq (intersection-strict)

0.75

Star.cufflinks

STAR, Cufflinks

0.90

Star.cufflinks.mr

STAR, Cufflinks (multi-read-correct)

0.83

Tophat.cufflinks

TopHat2, Cufflinks

0.90

Tophat.cufflinks.mr

TopHat2, Cufflinks (multi-read-correct)

0.82

Sailfish

Sailfish (RPKM)

0.85

Sailfish

Sailfish bias-corrected (RPKM)

−0.14

  1. Pearson correlation coefficients between FPKM from each method and the expected FPKM from simulated data for 958 difficult genes