SigWin-detector

SigWin-detector is a grid-enabled workflow application that takes a sequence of numbers and a series of window sizes as input and detects all significant windows for each window size using a moving median false discovery rate (mmFDR) procedure. A significant window is a window in the input sequence for which the median value is significantly higher than expected, if assumed that the ordering of the numbers in the input sequence is random. The results of a SigWin-detector analysis are sumarized in a graph called SigWin-map. In the special case that the input sequence is a trancriptome map, the significant windows are called RIDGES and the output graph is called a RIDGEOGRAM.