Visualization of genomic data with the Hilbert curve.
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.


BACKGROUND
http://www.ebi.ac.uk/huber-srv/hilbert/.
Anders
Simon
S
European Bioinformatics Institute (EMBL-EBI), Hinxton, CB10 1SD, UK. sanders@fs.tum.de
D019295:Computational Biology / Q000379:methods*; D016678:Genome; D023281:Genomics / Q000379:methods*; D016247:Information Storage and Retrieval; D020407:Internet; D012984:Software