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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  • P L o S One

    ISSNs: 1932-6203

    Additional searchable ISSN (Electronic): 1932-6203

    Public Library of Science, United States

    BFI (2018): BFI-level 1, Scopus rating (2017): CiteScore 3.01 SJR 1.164 SNIP 1.111, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Indexed in DOAJ

    Central database

    Journal

  • Scientific Reports

    ISSNs: 2045-2322

    Nature Publishing Group, United Kingdom

    BFI (2018): BFI-level 1, Scopus rating (2017): CiteScore 4.36 SJR 1.533 SNIP 1.245, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Indexed in DOAJ

    Central database

    Journal

  • Nature

    ISSNs: 0028-0836, 1758-678X, 0028-0836, 1476-4687

    Additional searchable ISSN (Electronic): 1476-4687

    Nature Publishing Group, United Kingdom

    BFI (2018): BFI-level 3, Scopus rating (2017): CiteScore 14.59, Web of Science (2018): Indexed yes, ISI indexed (2013): ISI indexed yes

    Central database

    Journal

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