Bioinformatics Research Group at BI Lab

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 

• CSB 2009: 8th Annual International Conference on Computational Systems Bioinformatics , Stanford University, California, August 10-12, 2009 [CSB 2008]
• RECOMB 2010: The 10th Annual International Conference on Research in Computational Molecular Biology, Lisbon, Portugal, April 25-28, 2010 (Deadline: October 5, 2009) [RECOMB 2009] [RECOMB 2008]
• PSB 2010: The Pacific Symposium on Biocomputing ,Grand Wailea, Wailea, Maui, January 4-8, 2010 (Deadline: July 13, 2009) [PSB 2009]
• GIW 2009: The 20th International Conference on Genome Informatics, Pacifico Yokohama, Japan, December 14-16, 2009 (Deadline: Oct. 1, 2009) [GIW 2008] [GIW 2007]
• ECCB 2010: European Conference on Computational Biology 2010, Ghent, Belgium, September 26-29, 2010 [ECCB 2009] [ECCB 2008]
• ICSB 2009: The 10th International Conference on Systems Biology , Stanford,California August 30- September 4, 2009 [ISCB 2008 ]
• ISMB 2010: The 18th Annual International Conference on Intelligent Systems for Molecular Biology , Boston, USA July 9-14, 2010 [ISMB 2009 ] [ISMB 2008 ]
• CIBCB 2010:Computational Intelligence in Bioinformatics and Computational Biology, Montreal, Canada, May 2-5, 2010 (Deadline: Dec. 1,2009) [CIBCB 2009]

Seminars

• Machine Learning Seminar (Bishop - PRML)
  ( Dec. 26, 2006 ~ Feb. 21, 2007)
• Biological Hypernetwork Seminar
  ( Dec. 2006 ~ )
• ISMB 2006 Seminar
  ( Sep. 5 ~ Sep. 29, 2006)
• The Elements of Statistical Learning
  ( Jan. 23 ~ Feb. 27, 2006)
• Bioinformatics: genes, proteins and computers
  ( Feb. 16 ~ 23, 2004)
• Modeling of Biological networks
  ( Jan. 10 ~ Feb. 4, 2003)
Datamining Technology for Bioinformatics
( Apr. 4 ~ May 30, 2002)
• Machine Learning Approaches to Bioinformatics
  ( Sep. 18 ~ Nov. 3, 2001)
• Gene Expression Data Mining
  ( Feb. 14 ~ Mar. 14, 2001)
• Bioinformatics Seminar
  ( Aug. - Oct. 2000 )

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.
• Machine Learning for Biological Data Mining, Byoung-Tak Zhang, Tutorial presented at ETRI, March 6, 2001.
• 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

• August 6, 2008, Prof. Byung-Jun Yoon, Texas A&M University, Structural Alignment of RNAs Using Profile Context-Sensitive HMMs
• May 26, 2008, Prof. Sebastian Seung, Howard Hughes Medical Institute and MIT, From the Brain to the Computer and Back Again
• May 11, 2007, Dr. Yoon-Jung Chang, National Cancer Center, Introduction of consumer informatics (±¹¸³¾ÏÁ¤º¸¼¾Å͸¦ Áß½ÉÀ¸·Î)
• May 7, 2007, Dr. Keun-Joon Park, Division of Bio-Medical Informatics, NIH, Bioinformatics Research in Korea NIH
• December 27, 2006, Doc. Eun-A Jeong, University of Tokyo, Cell system ontology: representation for biological pathways
• September 13, 2006, Prof. Ernest Fraenkel, Massachusetts Institute of Technology, Studying Transcription and Signaling using High-Throughput Data
• August 8, 2006, Prof. Jin-Woo Kim, The Catholic University of Korea, Novel oncogene HCCR: its diagnostic and therapeuticimplications for cancer
• November 2, 2005, Dr. Hyun Seok Jin, Yonsei University, À¯ÀüÁúȯ °³¿ä ¹× Áø´ÜÀÇ ¿¹
• April 1, 2005: Dr. Sung-Chun Kim, GenoProt Inc., Development & Application of Aptamer-Based Biochip System
• Feburary 24, 2005: Prof. Sangdun Choi, California Institute of Technology
  Understanding Biology Using Gene Expression Profiling
• November 11, 2004: Prof. Seung Yong Hwang, Hanyang University
  Post-genomic applications of DNA chips
• May 19, 2004: Prof. V. Narry Kim, Seoul National University
  MicroRNA Biogenesis
• May 17, 2004: Dr. Sungsu Park, Ewha Womens University
  We can solve problems of biology using micro- and nanodevices?
• Apr. 28, 2004: Dr. Jeong Ho Yoon, Digital Genomics Inc.
  DNA Ĩ¿¡¼­ ÃßÃâÇÑ Á¤º¸ÀÇ IBM (Individual-based medicine) È°¿ë
• Apr. 21, 2004: Dr. S.M. Kim, IDRTech Inc.
  Bioinformatics: Fact or Fantasy?
• Apr. 8, 2004: Dr. JungHwan Cho, Sookmyung Women's University
  Analytical Chemometrics and Selected Methods of Pattern Recognition
• Jan. 28, 2004: J. Kong, OPTRON-TEC
  Capillary Gel Electrophoresis of Gene
• Jan. 12, 2004: J. Kong, OPTRON-TEC
  Lab-on-a-chip Application - The Diagnosis of vascular diseases
• Dec. 9, 2003: J. Kong, OPTRON-TEC
  Capillary Electrophoresis
• Sep. 30, 2003: Prof. Klaus Obermayer, The Technical University of Berlin
  Principled Approaches to Adaptation and Learning in Biological and Artificial Systems
• Sep. 2, 2003: Dr. Y. S. Kim, ISTECH Co., Ltd.
  The Application of Genomic Information Using Data Mining Methods
• 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.
• 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

• ProMiR: In silico Probabilistic Prediction of microRNA
• AptaCDSS II: In silico A Clinical Decision Assistant System with Knowledge Discovry - A Post AptaCDSS System
• DNAChipBench (NRL Project): In silico Intelligent Design and Analysis Technology for DNA Chips
• AptaCDSS: In silico A diagnosis support system for cardiovascular disease using aptamer chip
• 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

• Bioinformatics Newsletters
• Bioinformatics Research Groups
• Journals on Bioinformatics
• Conferences on Bioinformatics (Extensive List)

Internal