URAP

Paulameena Shultes

Quality Control of Genome Sequencing Data

DNA Sequencing offers us insight into some of the possible causes for many diseases. The basis of the analysis of DNA Sequencing is that the sequences that are being analyzed are accurate, and thus that any conclusions that are drawn are statistically significant. Current metrics for the quality control of sequencing data are limited, so I have been working on a software that will include more metrics for more accurate pre-analysis quality control studies.

Message to Sponsor

Thank you so much for supporting undergraduate research. My college experience has been heavily defined by the campus opportunities for independent research and I am a much stronger student and researcher for it. We couldn’t do it without your support!
  • Major: Bioengineering & Computer Science
  • Mentor: Steven Brenner, Plant & Microbial Biology