The identification of genomic alterations such as single nucleotide polymorphisms (SNP), insertions/deletions, and other structural changes is the first step to understanding their possible roles in disease development followed by large studies to assess their actual significance and predictive power as disease biomarkers. Careful execution and understanding of each step in the DNA analysis workflow is required to produce high quality, reliable downstream analysis data you can count on. In general, DNA analysis begins with the purification of high quality genomic DNA, followed by total DNA quantitation and depending on the goals of the experiment, one or more downstream assays to either identify new mutations or determine if one or more known mutations is present in a sample.
This webinar will review each step of the DNA analysis workflow, highlight the key challenges faced and provide solutions to help overcome those challenges.
Eric Vincent, PhD
Genomics Product Manager
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