DIVIS

DIVIS, developed as a customizable pipeline within the GPyFlow framework, addresses the complexities and challenges of next-generation sequencing (NGS) in cancer research. NGS technologies have revolutionized the field by enabling the detection of a vast array of mutations within human cancers. However, the diversity of sequencing techniques, the complexity of open-source software, and the sheer volume of mutations identified have posed significant barriers to the clinical application of NGS data. DIVIS simplifies this process by providing an integrated solution for read preprocessing, alignment, variant detection, and annotation across various sequencing methods, including whole-genome sequencing, whole-exome sequencing, and gene-panel sequencing.

A key feature of DIVIS is its ability to consolidate variant calls from multiple callers into a standardized format, facilitating further analysis and ensuring compatibility with downstream analytical processes. Additionally, DIVIS generates comprehensive statistical reports that include command lines, parameters, quality-control metrics, and mutation summaries, offering researchers a holistic overview of the sequencing analysis process.