MethylPurify statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MethylPurify

Tool usage distribution map

This map represents all the scientific publications referring to MethylPurify per scientific context
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Associated diseases


Popular tool citations

chevron_left Differentially methylated region detection Tumor purity deconvolution chevron_right
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MethylPurify specifications


Unique identifier OMICS_09065
Name MethylPurify
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data Sequence data
Input format BAM
Operating system Unix/Linux, Mac OS
Programming languages Python
Computer skills Advanced
Version 2.0-20141116
Stability Beta
SAMtools, numpy, pyfasta
Maintained Yes


No version available


  • person_outline Xiaoqi Zheng

Publication for MethylPurify

MethylPurify citations


Whole genome DNA methylation: beyond genes silencing

PMCID: 5354935
PMID: 27895318
DOI: 10.18632/oncotarget.13562

[…] formation or prior knowledge from other datasets are becoming crucial tools for the efficient analysis of DNA methylation signal derived from heterogeneous cell populations. Software packages such as MethylPurify [] allow segregation of DNA methylation patterns using complex deconvolution analysis in regions with bisulfite reads showing discordant methylation levels. Similarly, DMEAS [, ] uses a S […]


CellMethy: Identification of a focal concordantly methylated pattern of CpGs revealed wide differences between normal and cancer tissues

Sci Rep
PMCID: 4674876
PMID: 26659027
DOI: 10.1038/srep18037

[…] eflect different epigenetic regulatory mechanisms. We focus on the region that shows a concordant methylation pattern of all CpGs and quantify the extent of concordant methylation in a single sample. MethylPurify is a statistical algorithm that uses sequencing reads showing discordant methylation levels to infer tumor purity from tumor samples. This algorithm focuses on the heterogeneity between t […]

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MethylPurify institution(s)
Department of Mathematics, Shanghai Normal University, Shanghai, China; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, Boston, MA, USA; Department of Bioinformatics, School of Life Science and Technology, Tongji University, Shanghai, China; Tongji University Advanced Institute, Translational Medicine, Shanghai, China; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA; BGI-Shenzhen, Shenzhen, China; The First Affiliated Hospital of Guangzhou Medical College, Guangzhou, China; Department of Biology, University of Copenhagen, Ole Maal√łes Vej 5, Copenhagen, Denmark; Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia; Macau University of Science and Technology, Avenida Wai long, Taipa, Macau, China; Department of Medicine, University of Hong Kong, Pokfulam, Hong Kong; Department of Thoracic Surgery, Shanghai Pulmonary Hospital of Tongji University School of Medicine, Shanghai, China

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