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SNaP: Simulation of SNP haplotype data and phenotypic traits


Description of the program
Web Interface / Obtaining SNaP / Downloads
Citation & Feedback
Job file example for use with SNaP

Description of the program

A poster was presented at the ASHG meeting in 2002.
A more detailed documentation can be downloaded.

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Web Interface / Obtaining SNaP / Downloads

SNaP was written in ANSI-C and is distributed under the GNU General Public License (see www.gnu.org for details).

SNaP can be used with a Web Interface. The interface allows for a comfortable creation of job settings files and the succeeding generation of the data set. Both files can be downloaded. For the generation of a higher number of data sets and for automated processing in simulation studies, the SNaP program can be downloaded and be installed on a local computer.

The following files are available for download:

  Description File Size Format Useful software
  SuSE Linux executable snap.suse 67 kB binary  
  RedHat Linux executable snap.redhat 70 kB binary  
  Sun Solaris executable snap.sun 91 kB binary  
  Windows/DOS executable snap.exe 82 kB binary  
  Program documentation snap.pdf 254 kB PDF
    snap.ps 1.4 MB PostScript
    snap.ps.gz 468 kB Zipped PostScript
    snap.ps.zip 475 kB Zipped PostScript
  Short sources installation guide install.txt 3 kB ASCII text  
  BibTeX citation file snapref.bib 4 kB BibTeX  
  GNU General Public License gpl.txt 18 kB ASCII text  

To obtain the software sources, please send me an e-mail with subject "SNaP request" to nothnagel medinfo.uni-kiel.de.

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Citation & Feedback

Please cite the following reference when reporting the results using SNaP:

Nothnagel M (2002).
Simulation of LD block-structured SNP haplotype data and its use for the analysis of case-control data by supervised learning methods.
Am J Hum Genet 71 (Suppl.)(4): A2363.

Comments and error feedback are appreciated. Please send an e-mail to nothnagel medinfo.uni-kiel.de with subject: "Comment on SNaP".

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Job file example to be used with SNaP

[General]    
DataFilename = 'expl.dat'
SettingsFilename = 'expl.set'
OutputType = 'haplotypes'
OutputFormat = 'Standard1'
     
[Design]    
TypeOfPhenoExpression = 'qualitative'
StudyDesign = 'individuals'
SamplingDesign = joint'
NumberOfIndividuals = 1000
     
[Model]    
NumberOfLoci = 1
NumberOfStates = 3
Penetrances =
  1.0 0.5 0.0    
BiallelicCheck = 'y'
RemoveCausalSNPs = 'n'
GenotypingError = 0.010
GenotypingErrorVisible = 'y'
RandomSeed = 500
     
[Separators]    
BehindStatus = '\t'
BetweenHaplotypes = ' '
BetweenBlocks = '.'
BetweenSNPs = ''
     
[Blocks]    
NumberOfBlocks = 2
     
(Block)    
Number = 1
Size = 3
SuscLocusPosition = 2
SuscAlleleFrequ = 0.200
{NoSuscHaplotypes}    
HtNumber = 2
HtBlock = 111
HtBlock = 211
HtFrequ = 0.60
{SuscHaplotypes}    
HtNumber = 3
HtBlock = 122
HtBlock = 221
HtBlock = 22
HtFrequ = 0.30
HtFrequ = 0.50
     
(Block)    
Number = 2
Size = 1
SuscLocusPosition = 0
{NoSuscHaplotypes}    
HtNumber = 2
HtBlock = 2
HtFrequ = 0.70

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Last update: December 14, 2005 Visitors since 11/11/2003: