Assessing computational tools for the discovery of transcription factor binding sites View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2005-01-01

AUTHORS

Martin Tompa, Nan Li, Timothy L Bailey, George M Church, Bart De Moor, Eleazar Eskin, Alexander V Favorov, Martin C Frith, Yutao Fu, W James Kent, Vsevolod J Makeev, Andrei A Mironov, William Stafford Noble, Giulio Pavesi, Graziano Pesole, Mireille Régnier, Nicolas Simonis, Saurabh Sinha, Gert Thijs, Jacques van Helden, Mathias Vandenbogaert, Zhiping Weng, Christopher Workman, Chun Ye, Zhou Zhu

ABSTRACT

The prediction of regulatory elements is a problem where computational methods offer great hope. Over the past few years, numerous tools have become available for this task. The purpose of the current assessment is twofold: to provide some guidance to users regarding the accuracy of currently available tools in various settings, and to provide a benchmark of data sets for assessing future tools. More... »

PAGES

137-144

References to SciGraph publications

Journal

TITLE

Nature Biotechnology

ISSUE

1

VOLUME

23

Author Affiliations

  • Department of Genome Sciences, Box 357730, University of Washington, 98195-7730, Seattle, Washington, USA
  • Department of Computer Science and Engineering, Box 352350, University of Washington, 98195-2350, Seattle, Washington, USA
  • Institute for Molecular Biosciences, University of Queensland, Brisbane, Australia
  • Department of Genetics and Lipper Center for Computational Genetics, Harvard Medical School, 02115, Boston, Massachusetts, USA
  • ESAT-SCD, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001, Leuven, Belgium
  • Department of Computer Science and Engineering, University of California, 92093, San Diego, California, USA
  • Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991, Moscow, Russia
  • Bioinformatics Program, Boston University, 02215, Boston, Massachusetts, USA
  • Center for Biomolecular Science and Engineering, University of California, 95064, Santa Cruz, California, USA
  • Department of Bioengineering and Bioinformatics, Moscow State University, Lab. Bldg B, Vorobiovy Gory 1-33, 119992, Moscow, Russia
  • Department of Computer Science and Communication (D.I.Co), University of Milan, Milan, Italy
  • Department of Biomolecular Science and Biotechnology, University of Milan, Milan, Italy
  • INRIA Rocquencourt, Domaine de Voluceau B.P. 105, 78153, Le Chesnay, France
  • SCMB-Université Libre de Bruxelles, Campus Plaine, CP 263, Boulevard du Triomphe, 1050, Bruxelles, Belgium
  • Center for Studies in Physics and Biology, The Rockefeller University, 10021, New York, New York, USA
  • Department of Bioengineering, University of California, 92093, San Diego, California, USA
  • Bioinformatics Program, University of California, 92093, San Diego, California, USA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nbt1053

    DOI

    http://dx.doi.org/10.1038/nbt1053

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1030939237

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15637633


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