The objective of our project is to develop new algorithms and visualization tools for multi-point analysis of genomic data. Although the techniques developed in this work will have broad applicability, significant progress can only be made with guidance from target applications. Our work will aim to contribute to two major issues in molecular biology: interactions between multiple single nucleotide polymorphisms (SNPs) in their contributions to disease, and prediction of gene expression on the basis of multiple interacting DNA sequences. Our approach will require significant theoretical as well as algorithmic innovations involving a synthesis of multiple techniques from data mining, machine learning, pattern recognition, and scientific visualization.
Computer Science Professors: