MethylPurify statistics

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Citations per year

Number of citations per year for the bioinformatics software tool MethylPurify
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Tool usage distribution map

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

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Popular tool citations

chevron_left Differentially methylated region detection Tumor purity deconvolution chevron_right
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MethylPurify specifications

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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
Requirements
SAMtools, numpy, pyfasta
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Xiaoqi Zheng

Publication for MethylPurify

MethylPurify citations

 (2)
library_books

Whole genome DNA methylation: beyond genes silencing

2016
Oncotarget
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 […]

library_books

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

2015
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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