Life scientists now have access to an unprecedented amount of experimental data. A single laboratory can measure the levels of all transcripts, proteins, or metabolites of an organism under different perturbations or can sequence the entire genome of hundreds of individuals or specimens. Systems biology aims to study the behavior and interaction of these molecules, using advanced mathematical models. Modern data-intensive genetics is also often dependent on statistical tools for identifying signals through population-level measurements. However, according to Sydney Brenner “we are drowning in a sea of data and starving for knowledge. Today, biology is more about gathering data than hunting down new ideas.” This is partly due to the fact that a substantial number of researchers who are capable of thinking about new insights, are not able to deal with the vast amounts of data generated by modern technologies. A fundamental characteristic for a tool to be adopted widely by life scientists is that it should be user-friendly. Our laboratory has developed several user-friendly tools and databases for those that have no bioinformatics background.