Next generation sequencing has revealed a lot about genetic variations such as single nucleotide polymorphisms (SNPs), single nucleotide variations (SNVs), copy number variations (CNVs), insertions and deletions (indels), inversions and translocations. Information on genetic variations has been used to better understand the inheritance and susceptibility of certain diseases, response to drugs, signaling pathways involved in normal versus disease states and more. However, biological interpretation of thousands of variants is a bottleneck in extracting valuable insights from DNA sequencing studies, often requiring months of effort after completion of the reference genome alignment and variant calling steps. These limitations can largely be overcome by using more sophisticated informatics tools that can help interpret the biology accurately and in more detail.
The target audience for this webinar includes scientists in academia or industry in pharmaceutical drug discovery or biomarker research, CROs, laboratory technicians and managers as well as clinicians, who are using or ...
