Department of Bio and Health Informatics

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Organisation profile

Head of Department: Professor Haja Kadarmideen

The department carries out research within bio and health informatics and develops computational methods and machine learning systems as well as systems for artificial intelligence (AI) which uses biological understanding and other scientific background information to expand the biological knowledge and create tools for tomorrow's biotech industry and the health sector. The department is based around the national supercomputer Computerome-a key tool for generating and analysing big data for the department's researchers and partners in Denmark and abroad.

 

Contact information

Kemitorvet
Building 208
2800
Kgs. Lyngby
Denmark
  • Phone: (+45) 4525 2477
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Publications

(154)

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  • P L o S One

    ISSNs: 1932-6203

    Public Library of Science, United States

    BFI (2017): BFI-level 1, Scopus rating (2016): CiteScore 3.11 SJR 1.201 SNIP 1.092, ISI indexed (2013): ISI indexed yes, Web of Science (2017): Indexed yes

    Indexed in DOAJ

    Central database

    Journal

  • Scientific Reports

    ISSNs: 2045-2322

    Nature Publishing Group, United Kingdom

    BFI (2017): BFI-level 1, Scopus rating (2016): CiteScore 4.63 SJR 1.625 SNIP 1.401, ISI indexed (2013): ISI indexed yes, Web of Science (2017): Indexed yes

    Indexed in DOAJ

    Central database

    Journal

  • Bioinformatics

    ISSNs: 1367-4803, 1367-4803

    Additional searchable ISSN (Electronic): 1367-4811

    Oxford University Press, United Kingdom

    BFI (2017): BFI-level 2, Scopus rating (2016): CiteScore 6.42, ISI indexed (2013): ISI indexed yes, Web of Science (2017): Indexed yes

    Central database

    Journal

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