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Bioinformatics. 2009 May 15;25(10):1231-5. doi: 10.1093/bioinformatics/btp152. Epub 2009 Mar 17.

Visualization of genomic data with the Hilbert curve.

Author information

1
European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, UK. sanders@fs.tum.de

Abstract

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/.

PMID:
19297348
PMCID:
PMC2677744
DOI:
10.1093/bioinformatics/btp152
[Indexed for MEDLINE]
Free PMC Article

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