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CMS: A Web-Based System for Visualization and Analysis of Genome-Wide Methylation Data of Human Cancers

Overview of attention for article published in PLOS ONE, April 2013
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Title
CMS: A Web-Based System for Visualization and Analysis of Genome-Wide Methylation Data of Human Cancers
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0060980
Pubmed ID
Authors

Fei Gu, Mark S. Doderer, Yi-Wen Huang, Juan C. Roa, Paul J. Goodfellow, E. Lynette Kizer, Tim H. M. Huang, Yidong Chen

Abstract

DNA methylation of promoter CpG islands is associated with gene suppression, and its unique genome-wide profiles have been linked to tumor progression. Coupled with high-throughput sequencing technologies, it can now efficiently determine genome-wide methylation profiles in cancer cells. Also, experimental and computational technologies make it possible to find the functional relationship between cancer-specific methylation patterns and their clinicopathological parameters.

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Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 1%
France 1 1%
Unknown 65 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Researcher 11 16%
Student > Master 8 12%
Other 6 9%
Professor 4 6%
Other 15 22%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 33%
Biochemistry, Genetics and Molecular Biology 8 12%
Computer Science 6 9%
Medicine and Dentistry 6 9%
Chemistry 2 3%
Other 4 6%
Unknown 20 29%