Guest Speaker and Accepted Papers
We would like to thank all those who submitted to this inaugural workshop. We had more than 30 submissions from many countries and have accepted 15 for presentation at the workshop. We encourage everyone to attend not only the workshop, but the entire VLDB conference. We have provided here the titles and authors of accepted papers.
We are honored to have as our guest speaker Dr. Simon Mercer, the Bioinformatics Program Manager for External Research & Programs in Microsoft Research.
Dr. Mercer has worked in biology obtainging a Ph.D in mammalian chromosomal evolution and has continued working in various aspects of bioinformatics over the years. Most recently he was Director of Bioinformatics and Strategic IT at the National Research Council of Canada's Institute for Marine Biosciences, with responsibility for the Canadian Bioinformatics Resource, a national network dedicated to bioinformatics research support. He then worked as Director of Software Engineering at Gene Codes Corporation, authors of the leading desktop DNA sequence assembly application and a forensic application used to identify the remains of the victims of the September 11th World Trade Center attacks.
Dr. Mercer's talk is entitled 'Bioinformatics at Microsoft Research'
We believe this will be a marvelous workshop and look forward to meeting all of you!
Mehmet M. Dalkilic, Sun Kim, and Jiong Yang
- A Novel Approach for Effective Learning of Cluster Structures with Biological Data Applications
- Miyoung Shin Kyungpook National University, South Korea
- Subspace Clustering of Microarray Data based on Domain Transformation
Jongeun Jun, Seokkyung Chung, and Dennis McLeod University of Southern California, USA; Yahoo! Inc., USA
- Bayesian Hierarchical models for Serial Analysis of Gene Expression
Seungyoon Nam, Seungmook Lee, Sanghyuk Lee, Seokmin Shin, and Taesung Park, Seoul National University, Korea; Ewha Womans University, Korea,
- Applying Gaussian Distribution-dependent Criteria to Decision Trees for High-Dimensional Microarray Data
RaymondWan, Ichigaku Takigawa, and Hiroshi Mamitsuka Kyoto University, Gokasho, Japan
- Identification of phenotype-defining gene signatures using the gene-pair matrix based clustering
Chung-Wein Lee, Shuyu Dan Li, Eric W Su, and Birong Liao Lilly Research Laboratories, USA
- TP+close: Mining Frequent Closed Patterns in Gene Expression Datasets
YuQing Miao, GuoLiang Chen, Bin Song, and ZhiHao Wang University of Science and Technology of China, Hefei, China; Guilin University of Electronic Technology, Guilin, China; Case Western Reserve University, Cleveland, USA
- Exploring Essential Attributes For Detecting MicroRNA Precursors From Background Sequences
Yun Zheng, Wynne Hsu, Mong Li Lee and Limsoon Wong National University of Singapore, Singapore
- A Gene Structure Prediction Program Using Duration HMM
Hongseok Tae, Eun-Bae Kong, and Kiejung Park Chungnam National University, South Korea; SmallSoft Co., Korea
- A Biological Text Retrieval System Based on Background Knowledge and User Feedback
Meng Hu, Jiong Yang Case Western Reserve University, USA
- Comparison of Modularization Methods in Application to Different Biological Networks
Zhuo Wang, Xin-Guang Zhu, Yazhu Chen, Yixue Li, Lei Liu Shanghai Jiao Tong University, China; University of Illinois at Urbana-Champaign, USA; Shanghai Center for Bioinformation Technology, China
- Automatic Annotation of Protein Functional Class from Sparse and Imbalanced Data Sets
Jaehee Jung and Michael R. Thon Texas A&M University, USA
- An Approximate de Bruijn Graph Approach to Multiple Local alignment and Motif Discovery in Protein Sequences>
Rupali Patwardhan, Haixu Tang, Sun Kim, and Mehmet Dalkilic Indiana University, USA
- Discovering Consensus Patterns in Biological Databases
Mohamed Y. ElTabakh, Walid G. Aref, Mourad Ouzzani, and Mohamed H. Ali Purdue University, USA
- Bioinformatics data source integration based on Semantic Relationships across species
Badr Al-Daihani, Alex Gray, Peter Kille Cardiff University, UK
- An Efficient Storage Model for the SBML Documents Using Object Databases
Seung-Hyun Jung, Tae-Sung Jung, Tae-Kyung Kim, Kyoung-Ran Kim, Jae-Soo Yoo and Wan-Sup Cho Chungbuk National University, South Korea