Since microarray data often has temporal components, with gene expression levels being measured every few hours, researchers are often interested in finding genes with similar expression profiles over time. Elevated or depressed activity often indicates participation in specific cellular functions such as mitosis (cell splitting) or apoptosis (cell death). These cellular functions may be important in stopping disease processes such as cancer or promoting healthy processes such as recovery from muscular dystrophy. Similar processes may also important in promoting agricultural improvements or stopping the spread of diseases. Dr. Eric Baehrecke of the University of Maryland Biotechnology Institute has been an active partner in this project.
TimeSearcher can also be used for finding patterns in linearly ordered sequences. Dr. Stephen Mount of the University of Maryland Department of Cell Biology and Molecular Genetics has been using TimeSearcher to explore occurrence frequencies for short nucleotide sequences in large sets of aligned sequences. Using TimeSearcher to identify patterns that occur frequently in some positions and infrequently in others, Dr. Mount has been able to extend the consensus definition of a branch site in Arabidopsis thaliana.
Our TimeSearcher provides a high degree of flexibility for interactive exploration of temporal and sequence data, and it is available to researchers and students to conduct their own research.
For more information, see the TimeSearcher web page.
Website designed by Harry Hochheiser