shallowHRD

"shallowHRD" is a software tool for evaluating tumor homologous recombination deficiency (HRD) using whole genome sequencing (WGS) data at low coverage, specifically shallow WGS or sWGS (approximately 1X coverage). This innovative tool utilizes the profile of copy number alterations to implement a fast and straightforward procedure for HRD detection, offering a valuable resource for predicting tumor response to poly(ADP-ribose) polymerase (PARP) inhibitors, a class of drugs to which HRD tumors are known to be selectively sensitive.

Key Features and Performance:

- High Sensitivity and Specificity: shallowHRD demonstrates high sensitivity (87.5%) and specificity (90.5%) for detecting HRD, making it a reliable tool for identifying tumors with homologous recombination deficiency.

- Cost-Effectiveness: By leveraging low-coverage WGS data, shallowHRD provides a cost-effective solution for HRD evaluation, making this critical analysis more accessible and affordable for broader applications in clinical and research settings.

- Efficiency: shallowHRD's efficiency is comparable to most state-of-the-art approaches, providing rapid and accurate HRD detection without high-coverage sequencing data.

- Low Storage Requirement: The tool generates low-storable outputs, minimizing the data storage demands often associated with high-coverage WGS datasets.

- Compatibility with FFPE Tissues: shallowHRD is also suitable for analyzing DNA extracted from fixed-formalin paraffin-embedded (FFPE) tissues, a standard sample type in clinical settings, further enhancing its applicability.