Srinivas Veerla Bioinformatics-based Exploration of Regulatory Regions in the Human Genome Master Thesis in Bioinformatics Advisors: Markus Ringnér and Jari Häkkinen Abstract: The microarray technology has made it possible to experimentally measure the expression levels of many individual genes simultaneously. Microarrays can, for example, be used to generate gene expression profiles of cells under different environmental conditions. These gene expression profiles, can then be used to cluster genes into co-expressed groups. It is reasonable to assume that co-expressed genes may also be co-regulated, and thus may share regulatory sequences in their non-coding regions. The aims of this project were two-fold; first to build a software package which can create a dynamic database ACID (array clone information database) consisting of information about the clones used in microarray experiments and second, by linking the clones to the genome, to investigate their transcriptional regulatory regions for presence of regulatory motifs and basal promoter regions. June 2003 LU TP 03-22