Takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values and local FDR values. The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant. The local FDR measures the posterior probability the null hypothesis is true given the test's p-value. Qvalue generates various plots automatically, allowing one to make sensible significance cut-offs. It can be applied to problems in genomics, brain imaging, astrophysics, and data mining.