comparison profilegenerator.xml @ 2:d5ed5c2e25c3 draft

Uploaded

1:f2bab38e3cbd

<tool id="Profilegenerator" name="Generate all possible combination of read profile" version="2.0.0">
  <description> of the consecutive allele from given error profile </description>
  <command interpreter="python2.7">profilegenerator.py  $error_profile $MOTIF $Maxdepth $minprob > $output </command>

  <inputs>
    <param name="error_profile" type="data" label="Select error profile" />

    <!-- Test data with valid values -->
    <test>
      <param name="error_profile" value="sampleprofilegenerator_in"/>
      <param name="MOTIF" value="A"/>
      <param name="Maxdepth" value="3"/>
      <param name="minprob" file="0.00000001"/>
      <output name="output" file="sampleprofilegenerator_out"/>
    </test>
    
  </tests>
  <help>

.. class:: infomark

**What it does**

This tool will generate all possible combination of observed read profile of the consecutive alleles from given error profile. The range of observed read length can be filtered to contain only those that are frequently occur using "Minimum error rate to be considered" parameter.

This problem will collect the lists of valid (pass "Minimum error rate to be considered" threshold) observed length profiles from combination of consecutive allele lengths. The lists that are equivalent or the subset of the other lists will be removed. For each depth and each list, length profile were generated from combination with replacement which compatible with python 2.7. There could be redundant error profiles generated from different lists if more than one combination of allele is generated due to overlap range of observed microsatellite lengths. The user need to remove them which can be done easily using **sort | uniq** command in unix.


**Citation**

When you use this tool, please cite **Fungtammasan A, Ananda G, Hile SE, Su MS, Sun C, Harris R, Medvedev P, Eckert K, Makova KD. 2015. Accurate Typing of Short Tandem Repeats from Genome-wide Sequencing Data and its Applications, Genome Research**
 
**Input**

- The error profile needs to contain these three columns. 
- Column 1 = Correct microsatellite length 
- Column 2 = Observed microsatellite length 
- Column 3 = Number of observation

**Output**

- Column 1 = Place holder for location of microsatellite locus. (just "chr")
- Column 2 = length profile (length of microsatellite in each read that mapped to this location in comma separated format). 
- Column 3 = motif of microsatellite in this locus. 
 
**Example**

- Suppose that we provide the following read profile ::

	9	9	100000
	10	10	91456
	10	9	1259	
	11	11	39657
	11	10	1211
	11	12	514
	

- Using default minimum probability to be consider and motif = A, all observed read lengths are valid. The program will generated lists of observed length profiles from consecutive allele length. ::

	9:10 = [9,10]
	10:11 = [9,10,11,12]
	
- Lists that are subsets of other lists will be removed. Thus, [9,10] will not be considered. 

- Then the program will generate all combination with replacement for each depth from each list. Using **maximum read depth =3**, we will ge the following output. ::

	
	chr	9,9	A
	chr	9,10	A
	chr	9,11	A
	chr	9,12	A
	chr	10,10	A

2:d5ed5c2e25c3

<tool id="Profilegenerator" name="Generate all possible combination of STR length profile" version="2.0.0">
  <description> of the consecutive allele from given error profile </description>
  <command interpreter="python2.7">profilegenerator.py  $error_profile $MOTIF $Maxdepth $minprob > $output </command>

  <inputs>
    <param name="error_profile" type="data" label="Select error profile" />

    <!-- Test data with valid values -->
    <test>
      <param name="error_profile" value="sampleprofilegenerator_in"/>
      <param name="MOTIF" value="A"/>
      <param name="Maxdepth" value="3"/>
      <param name="minprob" value="0.00000001"/>
      <output name="output" file="sampleprofilegenerator_out"/>
    </test>
    
  </tests>
  <help>

.. class:: infomark

**What it does**

This tool will generate all possible combination of observed STR length profiles of the consecutive alleles from given error profile. The range of observed read lengths can be filtered to contain only those that are frequently occur using "Minimum error rate to be considered" parameter.

This program will collect the lists of valid (pass "Minimum error rate to be considered" threshold) observed length profiles from combination of consecutive allele lengths. The lists that are equivalent or the subset of the other lists will be removed. For each depth and each list, length profile were generated from combination with replacement which compatible with python 2.7. There could be redundant error profiles generated from different lists if more than one combination of allele is generated due to overlap range of observed microsatellite lengths. The user need to remove them which can be done easily using **sort | uniq** command in unix.


**Citation**

When you use this tool, please cite **Fungtammasan A, Ananda G, Hile SE, Su MS, Sun C, Harris R, Medvedev P, Eckert K, Makova KD. 2015. Accurate Typing of Short Tandem Repeats from Genome-wide Sequencing Data and its Applications, Genome Research**
 
**Input**

- The error profile needs to contain these three columns. 
- Column 1 = Correct STR length 
- Column 2 = Observed STR length 
- Column 3 = Number of observation

**Output**

- Column 1 = Place holder for location of STR locus. (just "chr")
- Column 2 = length profile (length of STR in each read that mapped to this location in comma separated format). 
- Column 3 = motif of STR in this locus. 
 
**Example**

- Suppose that we provide the following STR length profile ::

	true	obs.	reads
	9	9	100000
	10	10	91456
	10	9	1259	
	11	11	39657
	11	10	1211
	11	12	514
	

- Using the default minimum probability (fraction of reads) of 0.00000001 and motif = A, all observed STR lengths are valid. The program will generated lists of observed length profiles from consecutive allele lengths ::

	9:10 = [9,10]
	10:11 = [9,10,11,12]
	
- Lists that are subsets of other lists will be removed. In this example, [9,10] will not be considered. 

- The program will then generate all combinations with replacement for each depth from each list. Using **maximum read depth levels =3**, we will get the following output. ::

	chr	9,9	A
	chr	9,10	A
	chr	9,11	A
	chr	9,12	A
	chr	10,10	A