Geir Kjetil Sandve

Summary

Affiliation: University of Oslo
Country: Norway

Publications

  1. pmc Identifying elemental genomic track types and representing them uniformly
    Sveinung Gundersen
    Department of Tumor Biology, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway
    BMC Bioinformatics 12:494. 2011
  2. pmc Sequential Monte Carlo multiple testing
    Geir Kjetil Sandve
    Department of Informatics, University of Oslo, Oslo, Norway
    Bioinformatics 27:3235-41. 2011
  3. pmc The Genomic HyperBrowser: inferential genomics at the sequence level
    Geir K Sandve
    Department of Informatics, University of Oslo, Blindern, 0316 Oslo, Norway
    Genome Biol 11:R121. 2010
  4. pmc The differential disease regulome
    Geir K Sandve
    Department of Informatics, University of Oslo, Blindern, 0316 Oslo, Norway
    BMC Genomics 12:353. 2011
  5. pmc Compo: composite motif discovery using discrete models
    Geir Kjetil Sandve
    Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
    BMC Bioinformatics 9:527. 2008
  6. pmc Improved benchmarks for computational motif discovery
    Geir Kjetil Sandve
    Department of Computer and Information Science, Norwegian University of Science and Technology NTNU, Trondheim, Norway
    BMC Bioinformatics 8:193. 2007
  7. pmc HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization
    Jonas Paulsen
    Institute for Cancer Genetics and Informatics, Oslo University Hospital, PO Box 4950, Nydalen, 0424 Oslo, Department of Informatics, University of Oslo, Problemveien 7, 0313 Oslo, Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4950, Nydalen, 0424 Oslo, Department of Mathematics, University of Oslo, Problemveien 7, 0313 Oslo and ELIXIR project, Department of Informatics, University of Oslo, Problemveien 7, 0313 Oslo, Norway
    Bioinformatics 30:1620-2. 2014
  8. pmc Chromatin states reveal functional associations for globally defined transcription start sites in four human cell lines
    Morten Rye
    Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, P, O, Box 8905, NO 7491 Trondheim, Norway
    BMC Genomics 15:120. 2014
  9. ncbi request reprint Segmentation of DNA sequences into twostate regions and melting fork regions
    Eivind Tøstesen
    Department of Medical Informatics, Norwegian Radium Hospital, N 0310 Oslo, Norway Department of Mathematics, University of Oslo, N 0316 Oslo, Norway
    J Phys Condens Matter 21:034109. 2009

Collaborators

Detail Information

Publications10

  1. pmc Identifying elemental genomic track types and representing them uniformly
    Sveinung Gundersen
    Department of Tumor Biology, The Norwegian Radium Hospital, Oslo University Hospital, Montebello, 0310 Oslo, Norway
    BMC Bioinformatics 12:494. 2011
    ..The issue of whether and how the multitude of formats reflects varying underlying characteristics of data has to our knowledge not previously been systematically treated...
  2. pmc Sequential Monte Carlo multiple testing
    Geir Kjetil Sandve
    Department of Informatics, University of Oslo, Oslo, Norway
    Bioinformatics 27:3235-41. 2011
    ..Often, complex Monte Carlo simulation is required, sometimes within a large-scale multiple testing setting. The resulting computational costs may be prohibitively high...
  3. pmc The Genomic HyperBrowser: inferential genomics at the sequence level
    Geir K Sandve
    Department of Informatics, University of Oslo, Blindern, 0316 Oslo, Norway
    Genome Biol 11:R121. 2010
    ..The Genomic HyperBrowser implements the approach and is available at http://hyperbrowser.uio.no...
  4. pmc The differential disease regulome
    Geir K Sandve
    Department of Informatics, University of Oslo, Blindern, 0316 Oslo, Norway
    BMC Genomics 12:353. 2011
    ..Furthermore, existing pipelines for related large-scale analysis are tailored for particular sources of input data, and there is a need for generic methodology for integrating complementary sources of genomic information...
  5. pmc Compo: composite motif discovery using discrete models
    Geir Kjetil Sandve
    Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway
    BMC Bioinformatics 9:527. 2008
    ..In recent years there has been increased attention towards the discovery of composite motifs, typically occurring in cis-regulatory regions of genes...
  6. pmc Improved benchmarks for computational motif discovery
    Geir Kjetil Sandve
    Department of Computer and Information Science, Norwegian University of Science and Technology NTNU, Trondheim, Norway
    BMC Bioinformatics 8:193. 2007
    ..Therefore, robust assessment of motif discovery methods becomes important, both for validation of existing tools and for identification of promising directions for future research...
  7. pmc HiBrowse: multi-purpose statistical analysis of genome-wide chromatin 3D organization
    Jonas Paulsen
    Institute for Cancer Genetics and Informatics, Oslo University Hospital, PO Box 4950, Nydalen, 0424 Oslo, Department of Informatics, University of Oslo, Problemveien 7, 0313 Oslo, Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, PO Box 4950, Nydalen, 0424 Oslo, Department of Mathematics, University of Oslo, Problemveien 7, 0313 Oslo and ELIXIR project, Department of Informatics, University of Oslo, Problemveien 7, 0313 Oslo, Norway
    Bioinformatics 30:1620-2. 2014
    ..uio.no/3d. Software is implemented in Python, and source code is available for download by following instructions on the main site...
  8. pmc Chromatin states reveal functional associations for globally defined transcription start sites in four human cell lines
    Morten Rye
    Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, P, O, Box 8905, NO 7491 Trondheim, Norway
    BMC Genomics 15:120. 2014
    ..Here we investigate chromatin features around a comprehensive set of transcription start sites in four cell lines by integrating data from these two projects...
  9. ncbi request reprint Segmentation of DNA sequences into twostate regions and melting fork regions
    Eivind Tøstesen
    Department of Medical Informatics, Norwegian Radium Hospital, N 0310 Oslo, Norway Department of Mathematics, University of Oslo, N 0316 Oslo, Norway
    J Phys Condens Matter 21:034109. 2009
    ..We expect this work to drive our understanding of DNA melting domains one step further...