BWS_data: Patients potentially affected by the Beckwith-Wiedemann...

In lb664/MethylCal: MethylCal: Bayesian Calibration of Methylation Levels

Description

Dataset containing human genomic control DNA (Promega), with five distinct actual methylation percentages (0%, 25%, 50%, 75% and 100%) obtained by mixing different ratios of unmethylated and fully methylated human control DNA, 15 healthy controls DNA and 18 patients DNA.

Usage

data(BWS_data)

Format

A data frame consisting of nine independent assays in two CpG islands located on SDHC gene promoter (SDHC_CpG:17 and SDHC_CpG:27) and seven imprinted Differentially Methylated Regions (PLAGL1, GRB10, MEST, NRAP, H19/IGF2, KCNQ1OT1 and MEG3) with 115 CpG positions and 41 variables:

Target

character: DMR/CpG island name

Chrom

integer: Chromosome

CpG_pos

integer: CpG position

0.0%, 25.0%, 50.0%, 75.0%, 100.0%

numeric: Actual Methylation Percentages (AMPs)

NC15, NC13, NC06, NC05, NC03, NC01, HC37, HC34, HC33, HC32, HC31, HC29, HC25, HC23, HC22

numeric: Healthy controls

B5A42, B5B37, B5C09, B5C06, B5C05, B5C41, B5C04, B5C31, B5C03, B5C28, B5C02, B5C19, B5C17, B5C14, B5C13, B5C12, B5C01, B5B38

numeric: Patients potentially affected by the Beckwith-Wiedemann Syndrome (BWS)

References

Ochoa E, Zuber V, Fernandez-Jimenez N, Bilbao JR, Clark GR, Maher ER, Bottolo L. MethylCal: Bayesian calibration of methylation levels. Submitted. 2019.

Examples

data(BWS_data)
head(BWS_data)

lb664/MethylCal documentation built on May 23, 2019, 4:02 a.m.