We are at the dawn of a new era in computational biology. DNA sequencing projects that required years of effort and hundreds of millions of dollars of equipment just a few years ago, can now be performed quickly and cheaply by individual labs. This dramatic shift is expanding the scale and scope of sequencing to previously unimaginable limits, and will ultimately lead to new discoveries of our basic biology, the diversity of life, and personalized medicine. However, these ambitious goals can only be realized if we can develop new computational methods that can effectively analyze the overwhelming volumes of data generated.
In my presentation, I