-------------------------------------------
   Joint Bio/Medical Informatics Meeting 
  ------------------------------------------

  Place : Ewha University
          Engineering Building Meeting Room (2nd Floor)
  
  Date :  1998.7.02 (Thursday) 14:00-18:00



 
  Afternoon (2.00pm - 3.30pm)
  --------------------------
  Joint APBioNet-APAN Bioinformatics Working Group meeting 
  (Co-Chair: Dr Tan Tin Wee, National University of Singapore)
  (Co-Chair: Sam-Myo Kim, Kyungpook University)
  - APBioNet-APAN advanced networking project

  Talk
  ----
  BioMedical Informatics in Korea?
  Sam-Myo Kim (Kyungpook University) (tentative)
  kims@bh.kyungpook.ac.kr 
  20 minutes
  (Abstract - see below)

  Agenda
  ------
  1. Brief introduction on APBioNet and discussion on plans
  2. Status Report on the APAN-APBioNet APEC-endorsed networking project
  3. Cooperation with APAN Agricultural WG (Akira Mizushima)
  4. Bilateral and multilateral collaborative bioinformatics projects
     involving Korea   
  5. Implementation Plan.

 
  Tea Break (3.30pm-4.00pm)

  PART THREE

  Afternoon (4.00pm-6.00pm)
  ------------------------
  APAN Medical Informatics Working Group meeting
  on Telemedicine in Asia Pacific
  (Co-Chair: Professor Hiroshi Mizushima, NCC, Japan)
  (Co-Chair: Professor Kim Myoung-Hee, EWHA - host)

  Agenda
  ------
  Discussion on APAMI-APAN Telemedicine Consortium
  1. What is APAMI? (Mizushima and Tan)
  2. APAMI Telemedicine Consortium Preliminary Report (Mizushima and Tan)
  3. Discussion on proposed Joint APAMI-APAN Medical Informatics WG Meeting
   at the APAMI session, MEDINFO'98, Seoul 1998
   (led by Prof KC Lun via NetMeeting sofware from Singapore)
  4. Potential Bilateral and multilateral collaborative Telemedicine
    projects involving Korea. (Kim)
  5. Action Items


   Talk by Professor Kim Myo Sam
   Kyungpook University
   Korea

  Abstract 
  --------

  Genetic splicing is one of the most popular techniques in the field of genetic engineering.
  It involves DNA molecules mixed with enzymes and a ligase that allow the molecules to be 
  cleaved and recombined to produce other molecules in addition to the original ones.
  Using formal language theory,researchers have investigated the string properties that may
  potentially arise from the original set of molecules under the effect of a given set of 
  restriction enzymes. 

  This paper introduces the first algorithm which, given a splicing system whose initial set 
  of strings is regular, constructs a finite state automaton that recognizes the set of DNA 
  molecules spliced by the system. This algorithm solves the open problem of constructing such
  an automaton and shows a direct approach to the proof of regularity of the spliced languages 
  when the initial set is regular.