Xinzhou and Yiling developed Clipper, a general statistical framework for controlling FDR in high-throughout genomics data analysis. Clipper does not require high-resolution p-values, thus saving null distribution derivation and many rounds of permutations. The work was published in Genome Biology. Here is the UCLA news. Congratulations!