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#SVM_bpfinder

A simple docker wrapper for SVM_bpfinder. SVM_bpfinder uses binaries from SVM_light to predict the location and quality of branch-point signals.


This repository repackages work from these wonderful people:

  • A. Corvelo, M. Hallegger, C.W.J. Smith, E. Eyras. Genome-wide Association between Branch Point Properties and Alternative Splicing. ... (2010)
  • T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.

##Requirements:

  • SVM_bp.sh from this repo
  • docker
  • UNIX-like system, or else you need to replicate the contents of SVM_bp.sh for your architecture.

##Installation:

  1. Add SVM_bp.sh to a place in $PATH
  2. docker pull mlovci/svm_bpfinder

##Test:
You can use test.fa from this repo for testing.

SVM_bp.sh test.fa Hsap 100

will produce:

    seq_id    agez    ss_dist    bp_seq    bp_scr    y_cont    ppt_off    ppt_len    ppt_scr    svm_scr
    intron1    34    29    cgctgacat    3.40276113552    0.75    13    12    29    1.423629
    intron1    34    22    atattatcg    -2.57035278941    0.823529411765    6    12    29    -0.44829131
    intron2    20    47    gattgactg    1.83174485153    0.714285714286    14    10    21    0.65914217
    intron2    20    41    ctgtgactg    1.82301608911    0.75    8    10    21    1.047049
    intron2    20    37    gactgactg    3.16203878284    0.78125    4    10    21    1.8346258

##Usage:

SVM_bp.sh <filename> <species (i.e. Hsap)> <length>


#For full documentation:

See SVM_bpfinder's README for full instructions

#License

Permission is granted for unrestricted academic use. Limitations are placed on the use of this container only where prohibited by the constituent packages. Contact the authors to obtain permission for non-academic uses: SVM_bpfinder and SVM_light

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