Format

Send to

Choose Destination
Bioinformatics. 2016 Aug 15;32(16):2517-9. doi: 10.1093/bioinformatics/btw180. Epub 2016 Apr 8.

methyLiftover: cross-platform DNA methylation data integration.

Author information

1
Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
2
Department of Biostatistics, Oregon State University College of Public Health and Human Sciences, Corvallis, OR, USA.
3
Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA Department of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
4
Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA Department of Pharmacology and Toxicology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA Department of Community and Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.

Abstract

: The public availability of high throughput molecular data provides new opportunities for researchers to advance discovery, replication and validation efforts. One common challenge in leveraging such data is the diversity of measurement approaches and platforms and a lack of utilities enabling cross-platform comparisons among data sources for analysis. We present a method to map DNA methylation data from bisulfite sequencing approaches to CpG sites measured with the widely used Illumina methylation bead-array platforms. Correlations and median absolute deviations support the validity of using bisulfite sequencing data in combination with Illumina bead-array methylation data.

AVAILABILITY AND IMPLEMENTATION:

https://github.com/Christensen-Lab-Dartmouth/methyLiftover includes source, documentation and data references.

CONTACT:

brock.c.christensen@dartmouth.edu

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
27153617
PMCID:
PMC5006233
DOI:
10.1093/bioinformatics/btw180
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center