Erin Bomati
Technical Applications Scientist
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 just over a year ago.
This webinar will cover critical parameters for optimizing cluster density on both our patterned and non-patterned flow cells. We will cover the following topics: factors that impact cluster efficiency; review of the clusters passing filter metric; how to diagnose clustering issues; and tips and tricks to achieve optimal density across our varying sequencing platforms.