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

Abstract. Summary: Hilbert curves enable high-resolution visualization of genomic data on a chromosome- or genome-wide scale. Here we present the HilbertCurve

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Bibliographic Details
Main Authors:	Gu, Zuguang (Author) , Eils, Roland (Author) , Schlesner, Matthias (Author)
Format:	Article (Journal)
Language:	English
Published:	24 March 2016
In:	Bioinformatics Year: 2016, Volume: 32, Issue: 15, Pages: 2372-2374
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/btw161
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/bioinformatics/btw161 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/bioinformatics/article/32/15/2372/1743779
Author Notes:	Zuguang Gu, Roland Eils and Matthias Schlesner

Description
Summary:	Abstract. Summary: Hilbert curves enable high-resolution visualization of genomic data on a chromosome- or genome-wide scale. Here we present the HilbertCurve
Item Description:	Gesehen am 26.08.2020
Physical Description:	Online Resource
ISSN:	1367-4811
DOI:	10.1093/bioinformatics/btw161