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Table 1 Cancer RNA-seq datasets used for benchmarking

From: ChimPipe: accurate detection of fusion genes and transcription-induced chimeras from RNA-seq data

Cancer dataset

Cell line

Tumor type

Number of validated

Number of validated

Number of different

SRAa accession

   

fusion genes

fusion junctions

libraries

codes

Berger

K-562

Leukemia

3

3

2

SRR018268,

      

SRR0182689

 

501 Mel

Melanoma

4

5

1

SRR018266

 

M000216

 

1

1

1

SRR018259

 

M000921

 

2

3

1

SRR018267

 

M010403

 

1

1

1

SRR018265

 

M980409

 

1

1

1

SRR018261

 

M990802

 

2

2

1

SRR018260

 

All

All

14

16

-

-

Edgren

KPL-4

Breast cancer

3

3

1

SRR064287

 

MCF-7

 

6

8

1

SRR064286

 

BT-474

 

21

25

2

SRR064438,

      

SRR064439

 

SK-BR-3

 

10

10

2

SRR064440,

      

SRR064441

 

All

 

40

46

1

-

  1. This table indicates for each cancer dataset, its associated set of cell lines and corresponding tumor types, together with the number of RT-PCR validated fusion genes and junctions. Some fusion genes are associated to several fusion junctions
  2. aSRA: Sequence Read Archive (http://www.ncbi.nlm.nih.gov/sra)