Presentation

The IWBBIO 2013 (International Work-Conference on Bioinformatics and Biomedical Engineering) seeks to provide a discussion forum for scientists, engineers, educators and students about the latest ideas and realizations in the foundations, theory, models and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.

The aims of IWBBIO 2013 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, IWBBIO 2013 solicits high-quality original research papers (including significant work-in-progress) on any aspect of Bioinformatics, Biomedicine and Biomedical Engineering.

New computational techniques and methods in machine learning; data mining; text analysis; pattern recognition; data integration; genomics and evolution; next generation sequencing data; protein and RNA structure; protein function and proteomics; medical informatics and translational bioinformatics; computational systems biology; modelling and simulation and their application in life science domain, biomedicine and biomedical engineering are especially encouraged.

  • IMPORTANT DATES:
    • Submission of Special Session proposals (FINAL):
      November 19th, 2012.
    • Submission of abstracts by authors (FINAL):
      November 19th, 2012.
    • Submission of papers by authors (FINAL):
      November 19th, 2012.
    • Notification of provisional acceptance (UPDATED):
      December 14th, 2012.
    • Submission of final papers (UPDATED):
      December 28th, 2012.
    • Registration of final papers:
      January 15th, 2013.
    • Early registration (special rates) (UPDATED):
      January 25th, 2013.
    • IWBBIO CONFERENCE:
      March 18th-20th, 2013.
    Theorical Biology and Medical Modelling Computational and Structural Biotechnology Journal
    Journal of Clinical Bioinformatics Current Bioinformatics
    Artificial Intelligence in Medicine