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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 co...
Autor principal: | Anders, Simon |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677744/ https://www.ncbi.nlm.nih.gov/pubmed/19297348 http://dx.doi.org/10.1093/bioinformatics/btp152 |
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