Erin Bomati
Technical Applications Scientist,
Illumina Inc.
Erin graduated from the University of California in San Diego in 2005 with a PhD in structural biology and biochemistry. In the years following, she expanded her experience with structure-function studies through research in enzymatic textile pigmentation, mechanisms of bioluminescence, and biotransformations critical to green chemistry. In 2010, Erin joined the R&D division at Illumina where she leveraged her expertise in enzyme engineering in the development of novel enzymes including transposase, recombinase, and several polymerases for improved data quality on Illumina sequencing platforms. With a strong desire to engage more with customers, Erin transitioned to a technical application scientist role in ANZ in 2018.
When designing a next generation sequencing project, both library concentration and library quality are critical parameters to measure and control. This webinar will review the common methods of library quantification and QC and discuss pros and cons for each method. We will highlight recommended methods for libraries prepared with all current Illumina kits and then review examples of optimal and suboptimal library QC results. We will wrap up by reviewing troubleshooting methods that can be employed when sub-optimal libraries (or simply library traces) are detected.
* If you are not able to make it in this time, please feel free to register to be notified when it is available on-demand where you can watch it at your convenience.