Structural Variant Machine (SV-M)

Summary

To accurately predict deletions and insertions we developed a tool called Structural Variant Machine (SV-M). This tool is using a Support Vector Machine (SVM) to then predict potential indel candidates as true or false ones. Further we are working on a single pipeline to simplfy the whole process of predicting indels.

Code

The code is written in C/C++. The source can be downloaded from our GitHub repository external page here.

Supplementary data

The supplementary data contains the Sanger validated training data and all annotated indels and potential gene losses. The data can be downloaded Download here (ZIP, 5 MB).

Publication