Sylamer is a new tool for analysis of word enrichment in ordered genelists. It
is appropriate for assessing miRNA or siRNA effects in gene-expression data.
more
Fast assessment of microRNA
binding and siRNA off-target effects from expression data
Stijn van Dongen, Cei Abreu-Goodger & Anton J. Enright; Nature Methods(2008)
A new online tool for running Sylamer on genelists is now available Sylarray.
Sylamer is a system for finding significantly over or under-represented words in sequences according to a sorted gene list. Typically it is used to find significant enrichment or depletion of microRNA or siRNA seed sequences from microarray expression data. Sylamer is extremely fast and can be applied to genome-wide datasets with ease. Results are plotted in terms of a significance landscape plot. These plots show significance profiles for each word studied across the sorted genelist.
The Java GUI contains precompiled binaries (see below) and should choose the appropriate one.
You will need th R Statistical Package Installed for plotting results.