Visualizing gene expression for lung development.
In: Summer Student Reports, 2011, Jackson Laboratory
Dr. Carol Bult
New technologies allow scientists to measure the gene expression of all of the genes in an organism’s genome at one time. Understanding the biological meaning in these data is a challenge and new methods for analyzing and visualizing genome wide expression data are needed. The goal of this project was to develop a new tool for the visualization of gene expression data in a time series of normal mouse lung development. The visualization tool was implemented in the programming language, Processing (processing.org). Processing is an open source programming environment specifically designed for building visualization software. Gene expression data for the alveolar stage of lung development were obtained previously using the Affymetrix 1.0 ST gene array. A list of genes previously known to be important to the alveolar stage of lung development was generated from a review the scientific literature and from the Mouse Genome Informatics (MGI) database. The list of known alveolar genes was used to select genes from the lung development gene expression time series for visualization. This, in turn, helped to highlight genes with common expression patterns but which had not been previously associated with this stage of development.
Bennett, DeUntay, "Visualizing gene expression for lung development." (2011). Summer and Academic Year Student Reports. 2343.
North Little Rock High School, AR