Precision medicine is a modern health concept which involves using a specific treatment for individuals based on genetic background. This new approach not only concerns personalized prescriptions to minimize adverse events and targeted therapy but also extends to diagnosis, prognosis and prevention of relevant diseases. Emerging high-throughput sequencing technology allows widespread identification of genetic variations. However, the downstream workflow of sequencing raw data is based on command-line interface (CLI) and open-source software, and general users may be confronted with the difficulty of using the basic CLI language and constructing pipelines. Our project aimed to establish a fully automated web-based analysis system for cancer genomic medicine and other human genomic fields to query and visualize genomic data. The web-based analysis for cancer biomedicine named iCBC was prepared using a user-friendly graphical interface on a high-performance computing system. We also implemented various bioinformatic tools and assembled automated pipelines for genomic sequencing. The implemented workflows included quality control, alignment and pre-processing, variant discovery, annotation and prioritization with multiple filtering criteria. Ultimately, the iCBC was developed, which is an open access online analysis platform for human high-throughput genomic data in biomedical cancer research.
