DATE: October 17, 2017
TIME: 08:00am PDT, 11:00am EDT
Researching and understanding the mechanisms of drug resistance are essential to determine therapies that are more effective on an individual basis. Computational biology tools combined with transcriptome analysis allow the characterization of differential gene expression signatures in response to treatment in resistant vs non-resistant human-derived cancer cells. Many biomarkers including non-coding RNAs and alternatively spliced variants have been associated with tumor pathogenesis or drug resistance. These biomarkers represent candidates to help elucidate the biology of diseases, to identify the mechanisms for drug resistance, and to design better targeted therapies for precision medicine.
In this webinar, the speaker will:
For Research Use Only. Not for use in diagnostic procedures.