The bioinformatics core of the Zimmerman Program is an innovative genomics and bioinformatics project. The Zimmerman Program seeks to understand the biology of von Willebrand disease, and the bioinformatics core performs the genomic analysis that will bring us closer to that understanding.

Numerous sites, both in the US and international, have collected clinical research data describing patients with VWD. We will be combining that data in a single interactive database, creating the most comprehensive resource for VWD researchers to date. Thanks to improvements in sequencing technology and cost effectiveness, we will also sequence 300 whole genomes of patients with low VWF, and make those available to cross-reference with the clinical research data.

We will be conducting the bioinformatics analysis for the program and managing the data, making it accessible to all project investigators through web software developed by the core.

Brooke Sadler, MA, PhD

Research Instructor

Brooke Sadler is the co-director of a genetics and genomics core for a program project grant on the biology of von Willebrand Disease. She is engaged in performing bioinformatical analyses on large-scale exome and genome datasets. She is particularly familiar with rare-variant analysis strategies and copy-number variation analyses. In her free time Sadler enjoys collecting houseplants, science fiction and spending time with her kids.

Shannon Dybvig, BS

Programmer Analyst

Shannon Dybvig is the sole engineer developing the Zimmerman Analytic Platform (ZAP), a web-based platform for investigators researching von Willebrand Disease and other conditions related to abnormal VWF. To build ZAP, Dybvig uses PHP, MariaDB, MYSQLi, PDO, Javascript, HTML, and Sass/SCSS on an Ubuntu server. Outside of the lab, Dybvig is a creator, futurist, and science fiction enthusiast. She also enjoys dancing.

Lilian Antunes, PhD

Postdoctoral Research Associate

Lilian Antunes received her doctoral degree in Human and Statistical Genetics from Washington University in St. Louis. For her PhD she investigated the genetic risk factors for pediatric musculoskeletal disorders using whole-exome sequencing data and functional studies in a zebrafish model. Her research interests focus on the development and application of statistical methodology, tools and pipelines for analysis of large scale genomic data. In her spare time, Lili enjoys spending time with her family and friends as well as biking, hiking, traveling to new places and visiting family in her native country Brazil.