EpiDISH web server: Epigenetic Dissection of Intra-Sample-Heterogeneity with online GUI-Reference-Cited by-同舟云学术

EpiDISH web server: Epigenetic Dissection of Intra-Sample-Heterogeneity with online GUI

Published:2019-11-09 Issue: Volume: Page:
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Zheng Shijie C¹,Breeze Charles E²,Beck Stephan³,Dong Danyue¹,Zhu Tianyu¹,Ma Liangxiao⁴,Ye Wei⁴,Zhang Guoqing⁴,Teschendorff Andrew E¹³

Affiliation:

1. CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, China

2. Altius Institute for Biomedical Sciences, Seattle, WA, USA

3. UCL Cancer Institute, University College London, 72 Huntley Street, London WC1E 6BT, United Kingdom

4. Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, China

Abstract

Abstract Summary It is well recognized that cell-type heterogeneity hampers the interpretation of Epigenome-Wide Association Studies (EWAS). Many tools have emerged to address this issue, including several R/Bioconductor packages that infer cell-type composition. Here we present a web application for cell-type deconvolution, which offers the functionality of our EpiDISH Bioconductor/R package in a user-friendly GUI environment. Users can upload their data to infer cell-type composition and differentially methylated cytosines in individual cell-types (DMCTs) for a range of different tissues. Availability and implementation EpiDISH web server is implemented with Shiny in R, and is freely available at https://www.biosino.org/EpiDISH/.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz833/30551711/btz833.pdf

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