SV-M 0.1 – Structural Variant Machine

SV-M 0.1

:: DESCRIPTION

SV-M is a machine learning based method which is able to discover and distinguish true from false indel candidates in order to reduce the false positive rate.

::DEVELOPER

Machine Learning and Computational Biology Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 SV-M

:: MORE INFORMATION

Citation

Dominik Grimm, Jörg Hagmann, Daniel Koenig, Detlef Weigel and Karsten Borgwardt:
Accurate indel prediction using paired-end short reads,
BMC Genomics 2013, 14:132 (27 February 2013)