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Assessing motifs in Positional Oligomer Importance Matrices (POIMs).

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poim2motif

Assessing motifs in Positional Oligomer Importance Matrices (POIMs).

required installations

  1. shogun toolbox
    http://www.shogun-toolbox.org/doc/en/3.0.0/installation.html
    install with python interface
  2. openopt
    http://openopt.org/Install
  3. R https://cran.r-project.org/mirrors.html
    install the additional package bioconductor package by enter in R
    source("http://bioconductor.org/biocLite.R")
    biocLite("seqLogo")

tutorial

"run_toy.py" is the toy Example "run_real1.py" is the real Example. For this real experiment you need to download one folder of the real data from: http://www.fml.tuebingen.mpg.de/raetsch/projects/lsmkl and adjust the datapath in "run_real1.py"

  1. create POIM
    by set CURRENT_TASK to TASK_1

  2. compute Motif
    by set CURRENT_TASK to TASK_2

With "path" you specify the folder path, including all results. You can choose the Name of the Experiment by experiment_name, which will be the name of the folder including all results.

If you have any questions, please write me a mail at marina.vidovic@tu-berlin.de.

Good luck!

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