comparison kmersvm/classify.xml @ 0:66088269713e draft

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author test-svm
date Sun, 05 Aug 2012 15:32:16 -0400
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1 <tool id="kmersvm_classify" name="Score Sequences of Interest">
2 <description>using SVM weights</description>
3 <command interpreter="python">scripts/kmersvm_classify.py -q $inputA $inputB</command>
4 <inputs>
5 <param format="tabular" name="inputA" type="data" label="SVM Weights"/>
6 <param format="fasta" name="inputB" type="data" label="Test Sequences"/>
7 </inputs>
8 <outputs>
9 <data format="tabular" name="kmersvm_scores.out" from_work_dir="kmersvm_scores.out" />
10 </outputs>
11 <tests>
12 <test>
13 <param name="inputA" value="test_weights.out" />
14 <param name="inputB" value="classify_test.fa" />
15 <output name="output" file="classify_output.out" />
16 </test>
17 </tests>
18 <help>
19
20 **What it does**
21
22 Takes as input one file of weights generated by Train SVM and one FASTA file containing sequences to be predicted.
23
24 Returns a file containing the names of the input sequences, as well as the scores and posterior probabilities of the input sequences.
25
26 ----
27
28 **Example**
29
30 Scores file::
31
32 #seq_id posterior_prob svm_score
33 mm8_chr1_3089935_3090035_+ 0.042414638227 -2.13990367846
34 mm8_chr1_5031335_5031435_+ 0.351943600792 -0.478063299876
35 mm8_chr1_5103742_5103842_+ 0.194625711202 -1.01493730026
36 mm8_chr1_5650372_5650472_+ 0.105376843506 -1.49141463695
37
38 </help>
39 </tool>