The source code is on https://github.com/TheJacksonLaboratory/SVE and the image is built by the Dockerfile (https://github.com/TheJacksonLaboratory/SVE/blob/master/Dockerfile). SVE is built on /tools/SVE in the image.
SVE is a python script based execution engine for Structural Variation (SV) detection and can be used for any levels of data inputs, raw FASTQs, aligned BAMs, or variant call format (VCFs), and generates a unified VCF as its output. By design, SVE consists of alignment, realignment and the ensemble of state-of-the-art SV-calling algorithms by default. They are BreakDancer, BreakSeq, cnMOPS, CNVnator, DELLY, Hydra and LUMPY. FusorSV is also embedded that is a data mining approach to assess performance and merge callsets from an ensemble of SV-calling algorithms.
Content type
Image
Digest
Size
5.3 GB
Last updated
almost 9 years ago
docker pull wanpinglee/sve