SV-M specifications


Unique identifier OMICS_00101
Name SV-M
Alternative name Structural Variant Machine
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C, C++
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


  • person_outline Dominik Grimm

Publication for Structural Variant Machine

SV-M citation


Performance evaluation of indel calling tools using real short read data

Hum Genomics
PMCID: 4545535
PMID: 26286629
DOI: 10.1186/s40246-015-0042-2

[…] ads are then clustered or aligned by de novo assembly to determine indels (Fig.  ()). Tools in this category include Pindel [] that uses a pattern growth approach to detect breakpoints of indels, and SV-M [] that performs a discriminative classification based on features of split read alignment profiles and then filters the result against empirically derived training set data to reduce the false-p […]

SV-M institution(s)
Machine Learning and Computational Biology Research Group, Max Planck Institute for Developmental Biology and Max Planck Institute for Intelligent Systems, Tübingen, Germany; Department of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany; Center for Bioinformatics, Eberhard Karls Universität, Tübingen, Germany
SV-M funding source(s)
Supported by Transnational Plant Alliance for Novel Technologies – Towards Implementing the Knowledge-based Bioeconomy in Europe (PLANT-KBBE) project Transcriptional Networks and Their Evolution in the Brassicaceae (TRANSNET), funded by the Bundesministerium für Bildung und Forschung, by a Gottfried Wilhelm Leibniz Award of the Deutsche Forschungsgemeinschaft, and the Max Planck Society.

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