Next-generation sequencing has prompted the development of numerous -omics applications. Along with experimental procedures, various computational pipelines became available to address the inherent complexities concerning the volume and quality of data. These pipelines are effective and routinely applied; however, interpreting their outcomes into actionable evidence is still poorly addressed. In this context, this work proposes a method for translating patient genomic profiles to drug response aberrations by integrating pharmacogenomic data into sequencing data analysis pipelines.
Keywords: High-Throughput Nucleotide Sequencing; Pharmacogenomic Variants; Polymorphism.