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Bioinformatics Advance Access published online on March 17, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp152
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© 2009 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Visualisation of genomic data with the Hilbert curve

Simon Anders

European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, UK

*To whom correspondence should be addressed. Dr. Simon Anders, E-mail: anders{at}ebi.ac.uk


  Abstract

In many genomic studies, one works with genome-positiondependent data, e.g., ChIP-chip or ChIP-Seq scores. Using conventional tools, it can be difficult to get a good feel for the data, especially the distribution of features. This article argues that the socalled Hilbert-curve visualisation can complement genome browsers and help to get further insights into the structure of one's data. This is demonstrated with examples from different use cases. An opensource application, called HilbertVis, is presented that allows the user to produce and interactively explore such plots.

Associate Editor: Prof. John Quackenbush

Received on August 27, 2008; revised on March 11, 2009; accepted on March 14, 2009

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