EasyVectorOmics

Quantification of gene expression is an essential tool in the life sciences, used for example to understand cancer. To find out which molecular functions are crucial in a genetic response, this involves identifying genes that show a significant increase or decrease in expression when, for example, healthy tissue is compared with diseased tissue. Thus, important genetic responses or profiles are identified as significant changes. Vector analysis of gene expression, in the context of gene families, provides important insights into the evolution of new functions. In a previous project, Prof. Hallab's group developed the Gene Expression Plotter (GXP) visualization and analysis tool. It enables scientists to easily analyze and visualize gene expression by providing a variety of different interactive scientific plots to support hypothesis generation and testing. In the EasyVectorOmics project, the developed method will be generalized and implemented using efficient linear algebra algorithms for use in comparative genomics projects.