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FRONTIERS OF BIOINFORMATICS: UNSOLVED PROBLEMS AND CHALLENGES

October 15-17, 2004

Poster Session

  1. Chen, Lamei (University of California, Los Angeles); Analyze HIV-1 Mutation Evolution as a Conditional Selection Pressure Network.

  2. Chuang, Jeffrey (University of California, San Francisco); Mutation Rates are Correlated in Mammalian Lineages.

  3. Day, Ryan (University of Washington); Molecular Dynameomics.

  4. Kechris, Katherina (University of California, San Francisco); Analysis of human alternative splices predicted from exon junction arrays.

  5. Liang, Mike (Stanford University); Integrating Sequence and Structure Data for Annotating Functional Sites on Protein Structures.

  6. Liu, Shuo (Stanford University); Processes and Functions Potentially Regulated by Alternative Splicing Uncovered Through Study of Protein Domains.

  7. Lotan, Itay (University of California, Berkeley); Real Space Protein Model Completion: an Inverse Kinematics Approach.

  8. Mrázek, Jan (Stanford University); Genomic Comparisons among γ-proteobacteria.

  9. Naughton, Brian; MotifCut: Motif Finding and Spectral Graph Theory.

  10. Reyes, Vicente M. (University of California, San Diego); Whole Proteome Functional Annotation via Automated Detection of Ligand 3-D Binding Site Motifs: Application to ATP- and GTP-Binding Sites in Unannotated Proteins of Dictyostelium discoideum.

  11. Saxonov, Serge (Stanford University); SampleScan: A Sampling Approach to Motif Discovery in Nucleotide Sequences.

  12. Veretnik, Stella (University of California, San Diego); Assignment of structural domains in proteins: why is it so difficult.

  13. Wang, Qi (University of California, Los Angeles); Detecting Tissue-Specific Regulation of Alternative Splicing as a Qualitative Change in Microarray Data.

  14. Xing, Yi (University of California, Los Angeles); alternative splicing opens neutral paths for genome evolution.



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OCR for page 25
Frontiers of Bioinformatics: Unsolved Problems and Challenges FRONTIERS OF BIOINFORMATICS: UNSOLVED PROBLEMS AND CHALLENGES October 15-17, 2004 Poster Session Chen, Lamei (University of California, Los Angeles); Analyze HIV-1 Mutation Evolution as a Conditional Selection Pressure Network. Chuang, Jeffrey (University of California, San Francisco); Mutation Rates are Correlated in Mammalian Lineages. Day, Ryan (University of Washington); Molecular Dynameomics. Kechris, Katherina (University of California, San Francisco); Analysis of human alternative splices predicted from exon junction arrays. Liang, Mike (Stanford University); Integrating Sequence and Structure Data for Annotating Functional Sites on Protein Structures. Liu, Shuo (Stanford University); Processes and Functions Potentially Regulated by Alternative Splicing Uncovered Through Study of Protein Domains. Lotan, Itay (University of California, Berkeley); Real Space Protein Model Completion: an Inverse Kinematics Approach. Mrázek, Jan (Stanford University); Genomic Comparisons among γ-proteobacteria. Naughton, Brian; MotifCut: Motif Finding and Spectral Graph Theory. Reyes, Vicente M. (University of California, San Diego); Whole Proteome Functional Annotation via Automated Detection of Ligand 3-D Binding Site Motifs: Application to ATP- and GTP-Binding Sites in Unannotated Proteins of Dictyostelium discoideum. Saxonov, Serge (Stanford University); SampleScan: A Sampling Approach to Motif Discovery in Nucleotide Sequences. Veretnik, Stella (University of California, San Diego); Assignment of structural domains in proteins: why is it so difficult. Wang, Qi (University of California, Los Angeles); Detecting Tissue-Specific Regulation of Alternative Splicing as a Qualitative Change in Microarray Data. Xing, Yi (University of California, Los Angeles); alternative splicing opens neutral paths for genome evolution.

OCR for page 25
Frontiers of Bioinformatics: Unsolved Problems and Challenges Xu, Na (University of California, Berkeley); Identifying functional importance of NCS conserved across multiple species. Yeh, Iwei (Stanford University); A Cellular Architecture Ontology for Analyzing Protein-Protein Interactions Based on Subcellular Localizations. Zhao, Keyan (University of Southern California); Genome-wide association mapping of flowering time in model plant - Arabidopsis thaliana.