• P1, Evolution of Lifespan in an artificial entity.
• P2, Machine Learning Approaches to Macromolecular Sequence-Structure-Expression-Interaction-Function Relationships.
• P3, Development of Statistical Tools for the Analysis of Barley GeneChip Data.
• P4, Using Phylogenetic Methods to Detect Recombination in HIV.
• P5, Developing Protein Conformational Transitions from Static Structure Models.
• P6, A Parallel Comparison Program.
• P7, Developing Minimal Models for Protein Folding.
• P8, Development of a Medicago truncatula genome browser.
• P9, Evaluation of EST clustering results.
• P10, Finding the Arabidopsis homologs for the soybean genes.
• P11, Simulation of Protein Conformational Transformation
• P12, Modeling Local Fluctuations of Protein Structures

• Construction of a Relational Database for Soybean Genomic Data
• Developing a Bayesian Method for Identifying Functionally Important Residues
• Cataloguing Hepatitis B Virus Genetic Diversity
• Applications of Machine Learning Approaches to Knowledge Discovery in Computational Biology
• Development of a program to assemble overlapping BAC sequences
• Mechanism of Ribosomes
• Mechanism of Reverse Transcriptase
• Network studies
• Gene Structure Annotation in the Rice Genome
• Alternative Splicing in Plants

E-mail: mjmccunn@iastate.edu
URL: http://www.bioinformatics.iastate.edu/BBSI/

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