The advent of massively parallel sequencing by next generation sequencing platforms now allow genomic approaches for individualizing healthcare. Genomic sequencing data reveals variants in genes related to drug metabolism that may affect efficacy or response. This presentation will describe the potential of NGS data for companion diagnostics or therapeutics and its implementation into clinical laboratories. Evaluating pharmacogenetic targets through exome analysis as well as through targeted gene panels will be discussed.
The implementation of a preemptive pharmacogenomics (PGx) program in a hospital setting requires a multidisciplinary approach to ensure seamless integration of each stage of the process for...
The implementation of a preemptive pharmacogenomics (PGx) program in a hospital setting requires a multidisciplinary approach to ensure seamless integration of each stage of the process for...
Ever wonder what you’re missing in your data? The sheer complexity of today’s flow and mass cytometry datasets demands automated solutions. Machine learning plugins only provide...
Mariana Kiehl (Sr. Applications Scientist at Roche Sequencing & Life Science) describes the KAPA Total Prep FFPE workflow, a novel single-tube method for combined sequencing of DNA and R...
The clinical interpretation of genetic testing results remains one of the most significant hurdles in effectively applying genomics in modern medicine. Errors in variant interpretation, whet...
High-content screening (HCS) is an imaging-based, multi-parametric strategy used in drug development that generates rich datasets through multiplexing strategically chosen fluorescent dyes a...
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