Text Mining in Bioinformatics

Call for Papers

Bioinformatics is the science of creating and advancing algorithms, computational and statistical techniques, and theory to solve formal and practical problems stemmed from the management and analysis of biological data.

A fundamental issue that biological researchers encounter today is how to make effective use of the enormous amount of biomedical data to improve their understanding of complex biological systems. The biomedical data repositories are formed from various ways such as bibliographic information from electronic medical journals, gene expression data from microarray experiments, protein identification and quantification data from proteomics experiments, and genomic sequences gathered by the Human Genome Project. The ability to automatically and effectively extract, integrate, understand, and make use of information embedded in such heterogeneous unstructured data remains a challenging task.

Submissions should address theoretical developments, computational aspects, or specific applications. Suitable topics for this special issue include but are not limited to:

  • Application and assessment of Text Mining (TM) algorithms,
  • Identification and retrieval of relevant documents from one or more large collections of documents,
  • Information extraction from biomedical literatures,
  • Entities' extraction from unstructured biomedical data sets,
  • Improving and assessing data quality in TM,
  • Automated construction, expansion, and curation of ontologies for different domain,
  • Integration of information retrieval to TM in biomedical domains,
  • Sequence clustering/classification,
  • Evaluation methods for TM,
  • Visualization,
  • Mining multirelational data.

Authors should follow the EURASIP JBSB manuscript format described at the journal site http://www.hindawi.com/journals/bsb/. Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP JBSB's Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:

Manuscript DueApril 1, 2007
First Round of ReviewsJuly 1, 2007
Publication DateNovember 1, 2007

Guest Editors

  • Min Song, Information Systems Department, College of Computing Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ 07102-1982, USA
  • Xiaohua Hu, College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA