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Table 2 Comparison of functions and features of different QC tools for RNA-Seq data

From: RNA-QC-chain: comprehensive and fast quality control for RNA-Seq data

 

RNA-QC-Chain

RSeQC

RNA-SeQC

Functions

Quality evaluation of raw reads

Yes

Yes

No

Quality trimming of raw reads

Yes

No

No

rRNA detection

Yes

Yes

Yes

rRNA removal

Yes

No

No

Contaminating species identification

Yes

No

No

Alignment statistics

Yes

Yes

Yes

Features

Language

C++

Python and C

Java

Input file (except commonly required files)

None

A chromosome size file and a BED file

An indexed bam file, a reference sequence, the index of reference sequence and a sequence dictionary

Output format

FASTQ/FASTA, TXT, PNG, HTML

PDF, TXT

HTML

Usage

One command line for each step

Multiple separate scripts

One command line

rRNA reference file

A built-in rRNA database

Requires user to provide

Requires user to provide

Visualization dependence

Gnuplot

UCSC Genome Browser or R scripts

N/A

Parallel computation

Yes

No

No

Running time for Dataset 1 (min)

8

55

120