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.
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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)