The advances in biotechnologies and efficiency in computational resources have provided opportunities to study and analyze the genomics of human diseases. Over the last decade, high throughput experiments studying omics (e.g., genetics, epigenetics, or transcriptomics) have been generating informative data and lead researchers to test different data-driven hypotheses. A big promise of the high dimensional biomedical data is to advance biomedicine by effectively utilizing findings from basic science researches.

Designing and conducting genomic experiments in biomedical research aim to enhance the diagnosis, treatment, and prevention of human diseases. Translating genomic results require data integration framework flexible to incorporate different molecular, genomic, and clinical signatures. In order to provide findings applicable to clinical settings, we need to have both clinical and experimental data supportive for the conclusions, as well as statistical or computational modeling to accurately guide medical decisions.

The special issue is intended to present and discuss technological and methodological advancements in biomedical researches leading to advancing biomedicine from genomics data.

Potential topics include, but are not limited to:

• Designing efficient genomics studies to study human diseases
• Applications of genomic information to precision medicine
• Framework to study and translate results from high throughput experimental data
• Methods to integrate genomic information with clinical data (e.g., electronic health records)
• Pipeline for efficient biological discovery when studying genetic and genomic data
• Bioinformatics tools to predict and advance targets using patient’s healthcare records and/or genomic profiles