Table 2

Dataset sample numbers for cancer methylation data.

Tissue Type

Number of Cancer Samples

Number of Normal Samples

Technology

Fackler Breast Tumors

103

21

Infinium 27k

Fang Breast Tumors

39

2

Infinium 27k

Sproul Breast Tumors

34

2

Infinium 27k

Van der Auwera Breast Tumors

62

10

Infinium 27k

Colorectal Tumors

125

29

Infinium 27k

Illingworth Col. Tum.

5

5

MDB-seq

Xu Col. Tum.

6

3

MDB-seq

Berman Col. Tum.

1

1

WG bis-seq

Prostate Tumors

95

86

Infinium 27k

Glioblastomas

88

2

Infinium 27k

Lung Tumors

66

24

Infinium 27k

AMLs

188

8

Infinium 27k

Ovarian Tumors

484

8

Infinium 27k

Details of the number of methylation profiles analyzed for each cancer type. The cancer type, the number of cancer and normal samples analyzed and the technology used to generate the methylation profiles in each case are shown. AMLs, acute myeloid leukemias; Col. Tum, colorectal tumors; Infinium 27k, Illumina infinium Infinium HumanMethylation27 BeadChip array; MBD-seq, Methyl Binding Domain pull-down followed by sequencing; WG bis-seq, whole genome bisulfite sequencing.

Sproul et al. Genome Biology 2012 13:R84   doi:10.1186/gb-2012-13-10-r84