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GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome
Author(s) -
Boris Simovski,
Daniel Vodák,
Sveinung Gundersen,
Diana Domańska,
Abdulrahman Azab,
Lars Holden,
Marit Holden,
Ivar Grytten,
Knut Dagestad Rand,
Finn Drabløs,
Morten Johansen,
Antonio Mora,
Christin LundAndersen,
Bastian Fromm,
Ragnhild Eskeland,
Odd S. Gabrielsen,
Egil Ferkingstad,
Sigve Nakken,
Mads Bengtsen,
Alexander J. Nederbragt,
Hildur Sif Thorarensen,
Johannes Andreas Akse,
Ingrid K. Glad,
Eivind Hovig,
Geir Kjetil Sandve
Publication year - 2017
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/gix032
Subject(s) - computer science , variety (cybernetics) , epigenome , data science , software , encode , interoperability , data mining , artificial intelligence , world wide web , biology , biochemistry , gene expression , dna methylation , gene , programming language
Recent large-scale undertakings such as ENCODE and Roadmap Epigenomics have generated experimental data mapped to the human reference genome (as genomic tracks) representing a variety of functional elements across a large number of cell types. Despite the high potential value of these publicly available data for a broad variety of investigations, little attention has been given to the analytical methodology necessary for their widespread utilisation.

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