title: SYMBIOmatics: synergies in Medical Informatics and Bioinformatics--exploring current scientific literature for emerging topics.
abstract: BACKGROUND
  The SYMBIOmatics Specific Support Action (SSA) is "an information gathering and dissemination activity" that seeks "to identify synergies between the bioinformatics and the medical informatics" domain to improve collaborative progress between both domains (ref. to http://www.symbiomatics.org). As part of the project experts in both research fields will be identified and approached through a survey. To provide input to the survey, the scientific literature was analysed to extract topics relevant to both medical informatics and bioinformatics.
  
  
  RESULTS
  This paper presents results of a systematic analysis of the scientific literature from medical informatics research and bioinformatics research. In the analysis pairs of words (bigrams) from the leading bioinformatics and medical informatics journals have been used as indication of existing and emerging technologies and topics over the period 2000-2005 ("recent") and 1990-1990 ("past"). We identified emerging topics that were equally important to bioinformatics and medical informatics in recent years such as microarray experiments, ontologies, open source, text mining and support vector machines. Emerging topics that evolved only in bioinformatics were system biology, protein interaction networks and statistical methods for microarray analyses, whereas emerging topics in medical informatics were grid technology and tissue microarrays.
  
  
  CONCLUSIONS
  We conclude that although both fields have their own specific domains of interest, they share common technological developments that tend to be initiated by new developments in biotechnology and computer science.
authors: EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. rebholz@ebi.ac.uk
authors: Dietrich
authors: D
authors: Rebholz-Schuhman
authors: Graham
authors: G
authors: Cameron
authors: Dominic
authors: D
authors: Clark
authors: Erik
authors: E
authors: van Mulligen
authors: Jean-Louis
authors: JL
authors: Coatrieux
authors: Eva
authors: E
authors: Del Hoyo Barbolla
authors: Fernando
authors: F
authors: Martin-Sanchez
authors: Luciano
authors: L
authors: Milanesi
authors: Ivan
authors: I
authors: Porro
authors: Francesco
authors: F
authors: Beltrame
authors: Ioannis
authors: I
authors: Tollis
authors: Johan
authors: J
authors: Van der Lei
mesh_terms: D001709:Biotechnology / Q000706:statistics & numerical data* / Q000639:trends; D019295:Computational Biology / Q000706:statistics & numerical data* / Q000639:trends; D005544:Forecasting; D008490:Medical Informatics / Q000706:statistics & numerical data* / Q000639:trends; D009323:Natural Language Processing; D010506:Periodicals as Topic / Q000706:statistics & numerical data* / Q000639:trends; D012586:Science / Q000706:statistics & numerical data* / Q000639:trends; D018511:Systems Integration; D013673:Technology Assessment, Biomedical