--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/tools/protein_analysis/nlstradamus.xml	Tue Jun 07 17:05:53 2011 -0400
@@ -0,0 +1,57 @@
+<tool id="nlstradamus" name="NLStradamus" version="0.0.3">
+    <description>Find nuclear localization signals (NLSs) in protein sequences</description>
+    <command>
+      NLStradamus -i $fasta_file -t $threshold -m $model -a $algorithm -tab > $tabular_file
+    </command>
+    <inputs>
+        <param name="fasta_file" type="data" format="fasta" label="FASTA file of protein sequences"/> 
+        <param name="model" type="select" display="radio" label="Model">
+            <option value="1" selected="True">Two state</option>
+            <option value="2">Four state</option>
+        </param>
+        <param name="algorithm" type="select" display="radio" label="Algorithm">
+            <option value="0">Viterbi</option>
+            <option value="1" selected="True">Posterior with threshold</option>
+            <option value="2">Both</option>
+        </param>
+        <param name="threshold" type="float" label="Posterior theshold" value="0.6">
+            <validator type="in_range" min="0" max="1" message="Threshold value should be between 0 and 1."/>
+        </param>
+    </inputs>
+    <outputs>
+        <data name="tabular_file" format="tabular" label="NLStradamus results" />
+    </outputs>
+    <requirements>
+        <requirement type="binary">NLStradamus</requirement>
+    </requirements>
+    <tests>
+    </tests>
+    <help>
+    
+**What it does**
+
+This calls the NLStradamus tool for prediction of nuclear localization
+signals (NLSs), which uses a Hidden Markov Model (HMM).
+
+The input is a FASTA file of protein sequences, and the output is tabular
+with six columns (one row per NLS):
+
+ * Sequence identifier
+ * Algorithm (posterior or Viterbi)
+ * Score (probability between threshold and 1 for posterior algorithm)
+ * Start
+ * End
+ * Sequence of NLS
+
+-----
+
+**References**
+
+A. N. Nguyen Ba, A. Pogoutse, N. Provart, A. M. Moses.
+NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction.
+BMC Bioinformatics. 2009 Jun 29;10(1):202.
+
+http://www.moseslab.csb.utoronto.ca/NLStradamus
+
+    </help>
+</tool>