Publication:
MethylPurify: tumor purity deconvolution and differential methylation detection from single tumor DNA methylomes

Thumbnail Image

Open/View Files

Date

2014

Journal Title

Journal ISSN

Volume Title

Publisher

BioMed Central
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Zheng, X., Q. Zhao, H. Wu, W. Li, H. Wang, C. A. Meyer, Q. A. Qin, et al. 2014. “MethylPurify: tumor purity deconvolution and differential methylation detection from single tumor DNA methylomes.” Genome Biology 15 (7): 419. doi:10.1186/s13059-014-0419-x. http://dx.doi.org/10.1186/s13059-014-0419-x.

Research Data

Abstract

We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. MethylPurify can identify differentially methylated regions (DMRs) from individual tumor methylome samples, without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. From patient data, MethylPurify gave satisfactory DMR calls from tumor methylome samples alone, and revealed potential missed DMRs by tumor to normal comparison due to tumor heterogeneity. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0419-x) contains supplementary material, which is available to authorized users.

Description

Keywords

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Referenced By

Related Stories