HilbertCurve

https://arxiv.org/pdf/1905.02853.pdf

Methods

spacefilling single view single scale single focus contiguous no abstraction no arrangement no interconnection segment sparse type segment contiguous type point sparse type point contiguous type

Tool

Access Format programming library
Supported Files other
License MIT
Tool name

HilbertCurve
Tool Link https://bioconductor.org/packages/release/bioc/html/HilbertCurve.html
Documentation https://bioconductor.org/packages/release/bioc/vignettes/HilbertCurve/inst/doc/HilbertCurve.html

Paper

HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data.

Gu Z, Eils R, Schlesner M. HilbertCurve: an R/Bioconductor package for high-resolution visualization of genomic data. Bioinformatics. academic.oup.com; 2016;32: 2372–2374.

Abstract

Hilbert curves enable high-resolution visualization of genomic data on a chromosome- or genome-wide scale. Here we present the HilbertCurve package that provides an easy-to-use interface for mapping genomic data to Hilbert curves. The package transforms the curve as a virtual axis, thereby hiding the details of the curve construction from the user. HilbertCurve supports multiple-layer overlay that makes it a powerful tool to correlate the spatial distribution of multiple feature types.