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The Genomic HyperBrowser: an analysis web server for genome-scale data
Author(s) -
Geir Kjetil Sandve,
Sveinung Gundersen,
Morten Johansen,
Ingrid K. Glad,
Krishanthi Gunathasan,
Lars Holden,
Marit Holden,
Knut Liestøl,
Ståle Nygård,
Vegard Nygaard,
Jonas Paulsen,
Halfdan Rydbeck,
Kai Trengereid,
Trevor Clancy,
Finn Drabløs,
Egil Ferkingstad,
Matúš Kalaš,
Tonje G. Lien,
Morten Beck Rye,
Arnoldo Frigessi,
Eivind Hovig
Publication year - 2013
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkt342
Subject(s) - biology , genome , computational biology , genomics , epigenomics , encode , scale (ratio) , genetics , data science , computer science , gene , dna methylation , gene expression , physics , quantum mechanics
The immense increase in availability of genomic scale datasets, such as those provided by the ENCODE and Roadmap Epigenomics projects, presents unprecedented opportunities for individual researchers to pose novel falsifiable biological questions. With this opportunity, however, researchers are faced with the challenge of how to best analyze and interpret their genome-scale datasets. A powerful way of representing genome-scale data is as feature-specific coordinates relative to reference genome assemblies, i.e. as genomic tracks. The Genomic HyperBrowser (http://hyperbrowser.uio.no) is an open-ended web server for the analysis of genomic track data. Through the provision of several highly customizable components for processing and statistical analysis of genomic tracks, the HyperBrowser opens for a range of genomic investigations, related to, e.g., gene regulation, disease association or epigenetic modifications of the genome.

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