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myKaryoView: A Light-Weight Client for Visualization of Genomic Data

Overview of attention for article published in PLOS ONE, October 2011
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Title
myKaryoView: A Light-Weight Client for Visualization of Genomic Data
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0026345
Pubmed ID
Authors

Rafael C. Jimenez, Gustavo A. Salazar, Bernat Gel, Joaquin Dopazo, Nicola Mulder, Manuel Corpas

Abstract

The Distributed Annotation System (DAS) is a protocol for easy sharing and integration of biological annotations. In order to visualize feature annotations in a genomic context a client is required. Here we present myKaryoView, a simple light-weight DAS tool for visualization of genomic annotation. myKaryoView has been specifically configured to help analyse data derived from personal genomics, although it can also be used as a generic genome browser visualization. Several well-known data sources are provided to facilitate comparison of known genes and normal variation regions. The navigation experience is enhanced by simultaneous rendering of different levels of detail across chromosomes. A simple interface is provided to allow searches for any SNP, gene or chromosomal region. User-defined DAS data sources may also be added when querying the system. We demonstrate myKaryoView capabilities for adding user-defined sources with a set of genetic profiles of family-related individuals downloaded directly from 23andMe. myKaryoView is a web tool for visualization of genomic data specifically designed for direct-to-consumer genomic data that uses publicly available data distributed throughout the Internet. It does not require data to be held locally and it is capable of rendering any feature as long as it conforms to DAS specifications. Configuration and addition of sources to myKaryoView can be done through the interface. Here we show a proof of principle of myKaryoView's ability to display personal genomics data with 23andMe genome data sources. The tool is available at: http://mykaryoview.com.

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Geographical breakdown

Country Count As %
Spain 1 3%
United States 1 3%
France 1 3%
Germany 1 3%
Unknown 30 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 41%
Student > Ph. D. Student 6 18%
Student > Bachelor 3 9%
Other 3 9%
Student > Master 3 9%
Other 1 3%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 32%
Medicine and Dentistry 5 15%
Biochemistry, Genetics and Molecular Biology 4 12%
Computer Science 3 9%
Business, Management and Accounting 2 6%
Other 4 12%
Unknown 5 15%