Source code for SDFA (v1.0, the version for publication)

SDFA is an efficient analysis tool designed for large-scale structural variation (SV) analysis. It is based on a new SV storage format and constructs a supporting toolset. Specifically, it first designs a standardized decomposition format (SDF) for SV, which efficiently represents, stores, and retrieves any type of SV data by decomposing SV. Based on the SDF file, SDFA designs or optimizes existing SV analysis algorithms considering the performance in large-scale samples.