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GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome

Boris Simovski, Daniel Vodak, Sveinung Gundersen, Diana Domanska, Abdulrahman Azab, Lars Holden, Marit Holden, Ivar Grytten, Knut Dagestad Rand, Finn Drablos, Morten Johansen, Antonio Mora, Christin Lund-Andersen, Bastian Fromm, Ragnhild Eskeland, Odd Stokke Gabrielsen, Sigve Nakken, Mads Bengtsen, Alexander Johan Nederbragt, Hildur Sif Thorarensen, Johannes Andreas Akse, Ingrid Glad, Eivind Hovig, Geir Kjetil Sandve
doi: https://doi.org/10.1101/067561
Boris Simovski
University of Oslo;
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Daniel Vodak
University of Oslo;
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Sveinung Gundersen
University of Oslo;
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Diana Domanska
University of Oslo;
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Abdulrahman Azab
University of Oslo;
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Lars Holden
Norwegian Computing Center;
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Marit Holden
Norwegian Computing Center;
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Ivar Grytten
University of Oslo;
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Knut Dagestad Rand
University of Oslo;
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Finn Drablos
NTNU - Norwegian University of Science and Technology;
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Morten Johansen
Oslo University Hospital
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Antonio Mora
University of Oslo;
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Christin Lund-Andersen
Oslo University Hospital
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Bastian Fromm
Oslo University Hospital
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Ragnhild Eskeland
University of Oslo;
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Odd Stokke Gabrielsen
University of Oslo;
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Sigve Nakken
Oslo University Hospital
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Mads Bengtsen
University of Oslo;
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Alexander Johan Nederbragt
University of Oslo;
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Hildur Sif Thorarensen
University of Oslo;
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Johannes Andreas Akse
University of Oslo;
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Ingrid Glad
University of Oslo;
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Eivind Hovig
University of Oslo;
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Geir Kjetil Sandve
University of Oslo;
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  • For correspondence: geirksa@ifi.uio.no
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Abstract

Genome-wide, cell-type-specific profiles are being systematically generated for numerous genomic and epigenomic features. There is, however, no universally applicable analytical methodology for such data. We present GSuite HyperBrowser, the first comprehensive solution for integrative analysis of dataset collections across the genome and epigenome. The GSuite HyperBrowser is an open-source system for streamlined acquisition and customizable statistical analysis of large collections of genome-wide datasets. The system is based on new computational and statistical methodologies that permit comparative and confirmatory analyses across multiple disparate data sources. Expert guidance and reproducibility are facilitated via a Galaxy-based web-interface. The software is available at https://hyperbrowser.uio.no/gsuite

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted August 03, 2016.
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GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome
Boris Simovski, Daniel Vodak, Sveinung Gundersen, Diana Domanska, Abdulrahman Azab, Lars Holden, Marit Holden, Ivar Grytten, Knut Dagestad Rand, Finn Drablos, Morten Johansen, Antonio Mora, Christin Lund-Andersen, Bastian Fromm, Ragnhild Eskeland, Odd Stokke Gabrielsen, Sigve Nakken, Mads Bengtsen, Alexander Johan Nederbragt, Hildur Sif Thorarensen, Johannes Andreas Akse, Ingrid Glad, Eivind Hovig, Geir Kjetil Sandve
bioRxiv 067561; doi: https://doi.org/10.1101/067561
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GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome
Boris Simovski, Daniel Vodak, Sveinung Gundersen, Diana Domanska, Abdulrahman Azab, Lars Holden, Marit Holden, Ivar Grytten, Knut Dagestad Rand, Finn Drablos, Morten Johansen, Antonio Mora, Christin Lund-Andersen, Bastian Fromm, Ragnhild Eskeland, Odd Stokke Gabrielsen, Sigve Nakken, Mads Bengtsen, Alexander Johan Nederbragt, Hildur Sif Thorarensen, Johannes Andreas Akse, Ingrid Glad, Eivind Hovig, Geir Kjetil Sandve
bioRxiv 067561; doi: https://doi.org/10.1101/067561

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