Journal Article

Visualization of genomic data with the Hilbert curve

Simon Anders

in Bioinformatics

Volume 25, issue 10, pages 1231-1235
Published in print May 2009 | ISSN: 1367-4803
Published online March 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp152

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In many genomic studies, one works with genome-position-dependent 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 so-called Hilbert curve visualization 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 open-source application, called HilbertVis, is presented that allows the user to produce and interactively explore such plots.

Availability: http://www.ebi.ac.uk/huber-srv/hilbert/

Contact: sanders@fs.tum.de

Supplementary information: Supplementary Data are available at Bioinformatics online.

Journal Article.  2837 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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