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Bioinformatics Research Group at BI Lab
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The Bioinformatics Research Group at the Biointelligence Lab is interested in developing and applying
machine learning algorithms for the analysis of genomic and proteomic data with a specal emphasis on
DNA chip data mining. Current research focuses on probabilistic graphical models, including
hidden Markov models (HMMs), Bayesian networks, Helmholtz machines, latent variable models, and generative topographic mapping.
Upcoming Conferences on Bioinformatics
- RECOMB 2004: The Eighth Annual International
Conference on Research in Computational Molecular Biology, Westin Hotel
Horton Plaza, San Diego, CA USA, March 27-31, 2004
(Deadline: August 15, 2003) [RECOMB 2003] [RECOMB 2002]
- PSB 2004: 8th Pacific Symposium on Biocomputing, Hawaii, January 6-10,
2004 (Deadline: February 10, 2003)
- GIW 2003: The 14th International
Conference on Genome Informatics, Pacifico Yokohama, Japan, December 14-17,
2003 (Deadline: September 1, 2003) [GIW 2002]
- ECCB 2004: European Conference on
Computational Biology 2004, Glasgow, Scotland, UK, July 31, 2004 [ECCB
2003]
- ISMB 2004: The 12th International
Conference on Intelligent Systems for Molecular Biology, Glasgow, Scotland,
UK, July 31, 2004 (Deadline: unavailable) [ISMB 2003] [ISMB 2002]
- Bioinformatics 2004: Bioinformatics 2004,
Linkoping, Sweden, 2004 (Deadline: unavailable)
[ Bioinformatics 2003]
[
Bioinformatics 2002]
Tutorials
- Tutorial: Machine
Learning for Biological Data Mining. Slides presented at CBIT & BI
Tutorial, November 23, 2002.
- Bayesian
Networks for Gene-Drug Dependency Analysis. Tutorial presented at Yonsei
Cancer Center, September 28, 2001.
- Nonstandard Machine
Learning Algorithms for Microarray Data Mining, Tutorial presented at The Second Workshop
on Bioinformation, October 17, 2001.
- Bioinformatics and
Biocomputing, Tutorial presented at Inter-university Semiconductor Research
Center, July 11, 2001.
- Bioinformation Technology (BIT) and Biointelligence (BI), Byoung-Tak Zhang,
Tutorial presented at 2001 Spring Conference of Korea Information Science Society (KISS), April 28, 2001.
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Machine Learning for Biological Data Mining, Byoung-Tak Zhang,
Tutorial presented at ETRI, March 6, 2001.
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Machine Learning in Bioinformatics, Byoung-Tak Zhang,
Tutorial presented at Speical Seminar Series on Bioinformatics, Department of Life Sciences,
City University of Seoul, October 14, 2000.
Invited Talks
- Jul. 10, 2003: Dr. K. J. Park, SmallSoft Co., Ltd.
Promoter Prediction in Genome
Sequence
- Sep. 1, 2003: Dr. Sangdun Choi, Division of Biology, California Institute of
Technology
Multidimensional Approaches
for Functional Genomics: DNA microarray, Bioinformatics, RNA interference, Yeast
Two-Hybrid, etc.
- Sep. 2, 2003: Dr. Y. S. Kim, ISTECH Co., Ltd.
The Application of Genomic
Information Using Data Mining Methods
- Sep. 30, 2003: Prof. Klaus Obermayer, The Technical University of Berlin
Principled Approaches to
Adaptation and Learning in Biological and Artificial Systems
- Apr. 17, 2003: Dr. Peter J. Park, Harvard Medical School
Microarrays and Functional
Genomics
- Jan. 22, 2003: Dr. Song-Won Koh, Advanced Research Center, St. Jude Medical
Cardiac Rhythm Management Division
Sleep Apnea and Congestive
Heart Failure: Perspective from Control System and Physiological Modeling
- Nov. 29, 2002: Hawoong Jeong, Korea Advanced Institute of Science and
Technology, Korea
Complex Systems: Are Cells
like the Internet?
- May 22, 2002: Prof. Robert Ian McKay, School of Computer Science, University
of New South Wales (Australian Defence Force Academy)
Evolution, Complexity and
Hierarchy in Natural and Artificial Systems
- Nov. 21, 2002: Prof. Chonghun Han, Department of Chemistry, Pohang University of
Science and Technology
Plastic Microfluidic Devices
for Bio/Chemical Analysis
- Sep. 16, 2002: Mark Moeller, Biochemistry University of Bielefeld,
Germany
Modeling and Simulation of
Signal Transduction Pathways
- Aug. 14, 2001: Kyusang Lee, Samsung Advanced Institute of Technology,
Bioinformatics for DNA chip Probe Design
- Jun. 11, 2001: Sun Shim Choi, Bioinformatix Inc.
Bioinformatics in the view of a Biologist
- May 7, 2001: Woong-Yang Park, Seoul National University,
DNA Chip for Biomedical Research
- Mar. 14, 2001: Ju Han Kim, Harvard Medical School, Unsupervised Learning from Complex Data: Functional Genomic Clustering Applications
- Nov. 22-23, 2000: Byoung-Tak Zhang, Seoul National University,
Learning Graphical Models for DNA Chip Data Mining
- Nov. 21, 2000: Daniel D. Lee, Bell Laboratories, Lucent Technologies,
Biologically Inspired Computation and Learning Algorithms
Research Projects
- SysBio:
In silico modeling and network construction of chromosomal replication
and segregation
- BrainGene : DNA data mining
for the analysis of expression patterns of vertebrate brain development-specific
genes (rat)
- AngioProt
: Development of prediction algorithm for angiogenesis-related molecules
- DMDM:
DNA microarray data mining using unsupervised learning techniques
- ProClass:
Protein classification based on molecular sequence and text information
- BioText:
Information extraction from biological texts based on Markov models
- MicroGene:
Microbial gene identification using probabilistic graphical models
Useful Links
This page is maintained by Je-Gun Joung (jgjoung@bi.snu.ac.kr).
Last update: April. 24, 2004.
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