Next-Generation Sequencing (NGS) technology, often seen as the foundation of precision medicine, has been successfully applied in oncology diagnostics and immunotherapy. With advances in gene diagnostics and immunotherapy, there may be a chance to control the development of cancers and alleviate the suffering of patients undergoing chemotherapy.

To promote the translation of precision medicine from bench to bedside and from the application of genetic testing to personalized medicine, new analysis methods for NGS and genetic data need to be developed. For example, the NGS panel is quite different from whole genome sequencing (WGS), focusing on fewer genes or regions but requiring greater precision and efficiency. For complex diseases, such as cancers, the driver genes are usually a cluster of genes in a regulatory network. Graph theories, such as shortest path analysis and random walk algorithms, will help dissect genome-wide interactions into key modules or paths whose dysfunctions are associated with disease progression.

The aim of this Special Issue is to collate research or review articles with a focus on the applications of bioinformatics and systems biology in precision medicine and immuno-oncology

Potential topics include but are not limited to the following:

• Disease gene identification;
• Biomarker discovery;
• NGS panel development;
• Liquid biopsy;
• Immunotherapy;
• Antibody drug development;
• Patient-derived xenograft (PDX) models;
• Cell-free tumor DNA;
• Single-cell sequencing;
• Microsatellite instability (MSI).