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


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  • person_outline Dominik Grimm <>

Publication for Structural Variant Machine

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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