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Introduction
Organization
Important dates
Call for Papers
Paper submission
Advanced Program
Registration
Hotel Information
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Advanced Program for BIBE-06
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The Advanced Program doc / pdf for BIBE-06 is now available for download.
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Day
1: Oct. 16, 2006
08:00 am to 09:00 am
Registration & Breakfast
09:00 am to 10:00 am Keynote
Speaker : Dr. Cathy H. Wu (affiliation : Professor, GUMC)
Talk Title: Genomic and Proteomic Bioinformatics at the Protein Information Resource (PIR)
10:00 am to 12:00 noon Session 1 :
Protein Structure, Function, and Classification
Chair: Jack Yang
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IUP : Intrinsic
Unstructured Protein Prediction - A Software Tool |
Jack Yang, Mary Yang |
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Novel Efficient
Granular Computing Model for Protein Sequence Motifs and Structure
Information Discovery |
Bernard Chen, Phang
C. Tai, Robert Harrison, Yi Pan |
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On Integrating
Peptide Sequence Analysis and Relational Distance-Based Indexing |
Weijia
Xu, Rui Mao, Shu Wang, Daniel Miranker |
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Assessing protein
function using a combination of supervised and unsupervised learning |
Jack
Yang, Mary Yang, Okan K. Ersoy |
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A Language
Modeling Text Mining Approach to the Annotation of Protein Community |
Xiaodan Zhang,
Daniel Wu, Xiaohua Zhou, Xiaohua Hu |
12:00 noon to 01:30 pm
Lunch Break
01:30 pm to 03:30 pm Session 2:
Pattern Discovery and Data Mining
Chair: Katherine Herbert
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Partition
Frequency Distance based Filter Method for Finding Approximate
Repetitions in DNA Sequences |
Di Wang, Guoren
Wang, Baichen Chen, Qingquan Wu, Changyong Yu, Yi Zhao, Ge Yu |
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Finding Patterns
in Biological Sequences by Longest Common Subsequences and Shortest
Common Supersequences |
Kang Ning, Hoong Kee
Ng, Hon Wai Leong |
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Mining the
Database of Transcription Binding Sites |
Wei Peng,
Tao Li, Giri Narasimhan |
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Extending Pattern
Branching to Handle Challenging Instances |
Jaime Davila,
Sanguthevar Rajasekaran |
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Discovering DNA
Motifs with Nucleotide Dependency |
Francis Chin, Henry
Leung |
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Prediction of labor for pregnant women using
high-resolution mass spectrometry data |
J-H Oh, J. Gao, A.
Nandi, P.Gurnani, P. B.Greenwood, K.P. Rosenblatt |
03:30 pm to 04:00 pm
Coffee Break
04:00 pm to 06:00 pm Session 3:
Microarrays
Chair: Gagan Agrawal
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Exploratory Tools
for Follow-Up Studies to Microarray Experiments |
Kaushik Sinha,
Ruoming Jin, Gagan Agrawal, Helen Piontkivska |
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Mining Positive
and Negative Co-regulation Patterns from Microarray Data |
Yuhai Zhao, Guoren
Wang, Ying Yin, Ge Yu |
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Building a
Classifier for Integrated Microarray Datasets through Two-Stage Approach |
Youngmi Yoon,
Jongchan Lee, Sanghyun Park |
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IntClust: A
Software Package for Clustering Replicated Microarray Data |
Wei Peng, Tao Li |
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Quick
Hierarchical Biclustering on Microarray Gene Expression Data |
Liping Ji, Kenneth
Mock, Kian-Lee Tan |
Day-2: Oct. 17, 2006
08:00 am to 09:00 am
Registration & Breakfast
09:00 am to 10:00 am Keynote
Speaker : Dr. Allam Appa Rao (affiliation : President, AUCE, India)
Talk Title: Mathematical analysis of Diabetes Mellitus related proteins having high sequence complexity
10:00 am to 12:00 noon Session 4:
Sequence Alignment and Database Search
Chair: Eleni Stroulia
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An improved
algorithm for the regular expression constrained multiple sequence
alignment problem |
Abdullah Arslan, Dan
He |
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Large Grain Size
Stochastic Optimization Alignment |
Perry Ridge, Hyrum
Carroll, Dan Sneddon, Mark Clement, Quinn Snell |
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Sequence Homology
Search Based on Database Indexing Using the Profile Hidden Markov Model |
Sakti Pramanik,
Qiang Xue, James Cole |
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A Tool for
Supporting Integration Across Multiple Flat-File Datasets |
Xuan Zhang, Gagan
Agrawal |
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Simplicity in RNA
Secondary Structure Alignment: Towards biologically plausible alignments |
Rimon Mikhaiel,
Guohui Lin, Eleni Stroulia |
12:00 noon to 01:30 pm
Lunch Break
01:30 pm to 03:30 pm Session 5:
Phylogenies, Trees, and Visualization
Chair: Mary Qu Yang
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Improving
progressive alignment for phylogeny reconstruction using parsimonious
guide-trees |
Usman Roshan, Dennis
Livesay, Satish Chikkagoudar |
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Learning the Tree
of Phenotypes Using Genomic Data and VISDA |
Yuanjian Feng, Zuyi
Wang, Yitan Zhu, Jianhua Xuan, David Miller, Robert Clarke, Eric
Hoffman, Yue Wang |
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Visualization of
DNA/RNA Structure using Temporal CGRs |
Margaret Dunham,
Donya Quick, Yuhang Wang, Monnie McGee, Jim Waddle |
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Isolation and
Visualization of Codon Usage Biases |
Douglas Raiford, Dan
Krane, Travis Doom, Michael Raymer |
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Finding
Correlations in Functionally Equivalent Proteins by Integrating
Automated and Visual Data Exploration |
Daniel A.
Keim, Daniela Oelke, Royal Truman, Klaus Neuhaus |
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Evidence of Multiple Maximum Likelihood Points for a Phylogenetic Tree |
B-B Zhou, M. Tarawneh, D. Chu, P. Wang, C.Wang, A. Zomaya, R.Brent |
03:30 pm to 04:00 pm
Coffee Break
04:00 pm to 06:00 pm Session 6: DNA
& RNA Sequence and Structure
Chair: Jason T.L. Wang
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A New Kernel Method for RNA Classification |
Xiaoming Wu, Jason
T.L. Wang, Katherine G. Herbert |
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RADAR: An Interactive Web-Based Toolkit for RNA Data
Analysis and Research |
Mugdha Khaladkar,
Vivian Bellofatto, Jason T. L. Wang, Bin Tian, Kaizhong Zhang |
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Parsimony based approach to test the Evolving Master
Gene hypothesis for human Alu repeats |
Sridhar
Ramachandran, Travis Doom, Michael Raymer, Dan Krane |
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An algorithm for string edit distance allowing
substring reversals |
Abdullah Arslan |
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Unsupervised Gene Selection For High Dimensional Data |
Young Bun Kim, Jean Gao |
Day-3: Oct. 18, 2006
08:00 am to 09:00 am
Registration & Breakfast
09:00 am to 10:00 am Keynote
Speaker : Dr. Fillia Makedon (affiliation : NSF)
Talk Title: Data Management Challenges for Bioinformatics and Bioengineering
10:00 am to 12:00 noon Session 7:
Clustering, Similarity Metrics, and Near Neighbor Methods
Chair: Aidong Zhang
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Using Gene Clustering to Identify Discriminatory
Genes with Higher Classification Accuracy |
Zhipeng Cai, Lizhe Xu,
Yi Shi, Mohammad Salavatipour, Randy Goebel, Guohui Lin |
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Semi-Supervised Clustering Models for Clinical Risk
Assessment |
Yongyang Huo,
Francisco Azuaje, Paul McCullagh, Roy Harper |
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Prediction of Protein Function Using Common-Neighbors
in Protein-Protein Interaction Networks |
Chuan Lin, Daxin
Jiang, Aidong Zhang |
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Determining Molecular Similarity for Drug Discovery
using the Wavelet Riemannian Metric |
Elinor Velasquez,
Emmanuel R. Yera, Rahul Singh |
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Assigning Schema Labels Using Ontology and Hueristics |
Xuan Zhang, Ruoming
Jin, Gagan Agrawal |
12:00 noon to 01:30 pm
Lunch Break
01:30 pm to 03:30 pm Session 8:
Regulatory and Metabolic Networks and Bioengineering I
Chair: Osman Abul
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Optimal Multi-Objective Control Method for Discrete
Genetic Regulatory Networks |
Osman
Abul, Reda Alhajj, Faruk Polat |
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Methods for Random Modularization of Biological
Networks |
Zachary Saul,
Vladimir Filkov |
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Efficient Modularization of Weighted Protein
Interaction Networks using k-Hop Graph Reduction |
Young-Rae Cho,
Woochang Hwang, Aidong Zhang |
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A Computational Inference Framework for analyzing
Gene Regulation Pathway using Microarray Data |
D-G Shin, J. Bluis,
Y-A Kim, W. Krueger, R.i Nori, N. Viniconis, H-W Wang, A. Wong, D. Rowe |
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The Automation of SIBIOS Workflow Composition |
Xiang Xiao, Malika
Mahoui, Zina Ben Miled, Bhavna Choudhury |
03:30 pm to 04:00 pm
Coffee Break
04:00 pm to 06:00 pm Session 9:
Bioengineering II
Chair: Anna Esposito
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Using MEDLINE as Standard Corpus for Measuring
Semantic Similarity in the Biomedical Domain |
Hisham Al-Mubaid, Hoa
A. Nguyen |
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Leveraging Chemical Background Knowledge for the
Prediction of Growth Inhibition |
Lothar Richter,
Stefan Hechtl, Stefan Kramer |
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A Supervised Learning Approach to Predicting Coronary
Heart Disease Complications in Type 2 Diabetes Mellitus Patients |
Marisol Giardina,
Francisco Azuaje, Paul McCullagh, Roy Harper |
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Noninvasive Study of the Human Heart using
Independent Component Analysis |
Yi Zhu, T-L Chen, W.
Zhang, T-P Jung, J-R Duann, S.
Makeig, C-K Cheng |
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False Discovery rates in Identifying Functional DNA Motifs
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Osman Abul, Geir Kjetil Sandave, Finn Drablos
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The Role of Timing in Speech
Perception and Speech Production Processes and its Effects on Language
Impaired Individuals |
Anna Esposito
& Nikolaos Bourbakis |
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Analysis of Invariant
Meta-features for Learning and Understanding Disable People’s Emotional
Behavior Related to Their Health Conditions |
N. Bourbakis ,A.
Esposito & D. Kavraki |
End and closing
remarks
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