The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data.

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ID: 39378
2018
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Ranked #86 of 139 articles by views in methods in molecular biology (clifton, nj)

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Abstract
The Cancer Genome Atlas (TCGA) epigenome data includes the DNA methylation status of tumor and normal tissues of large cohorts for dozens of cancer types. Due to the moderately large data sizes, retrieving and analyzing them requires basic programming skills. Simple data browsing (e.g., candidate gene search) is hampered by the scarcity of easy-to-use data browsers addressed to the broad community of biomedical researchers. We propose a new visualization method depicting the overall DNA methylation status at each TCGA cohort while emphasizing its heterogeneity, thus facilitating the evaluation of the cohort variability and the normal versus tumor differences. Implemented as a trackhub integrated to the University of California Santa Cruz (UCSC) genome browser, it can be easily added to any genome-wide annotation layer.To exemplify the trackhub usage we evaluate local DNA methylation boundaries, the aberrant DNA methylation of a CpG island located at the estrogen receptor 1 (ESR1) in breast and colon cancer, and the hypermethylation of the Homeobox HOXA gene cluster and the EN1 gene in multiple cancer types. The DNA methylation pancancer trackhub is freely available at http://maplab.cat/tcga_450k_trackhub .
Reference Key
mallona2018themethods Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mallona, Izaskun;Sierco, Alberto;Peinado, Miguel A;
Journal methods in molecular biology (clifton, nj)
Year 2018
DOI
10.1007/978-1-4939-7768-0_7
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