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. SigWin-detector runs under the WS-VLAM workflow management system.

SigWin-detector workflow          SigWin-map

Downloading SigWin-detector

Using SigWin-detector


This work was carried out in the context of the Virtual Laboratory for e-Science project and BioRange program of the Netherlands Bioinformatics Centre (NBIC). VL-e is supported by a BSIK grant from the Dutch Ministry of Education, Culture and Science (OC&W) and the ICT innovation program of the Ministry of Economic Affairs (EZ). BioRange is supported by a BSIK grant through the Netherlands Genomics Initiative (NGI).

Last modifyed on April 18, 2008 by Márcia Alves de Inda