Established in 2003, the UC Davis Genome Center uses state-of-art-technologies to understand how the heritable genetic information of diverse organisms functions in health and disease. The combination of cutting-edge research facilities, diverse service cores, and talented staff make the Genome Center a world class facility for genomics research and training.
Research that makes a difference
A sample of questions being addressed by the UC Davis Genome Center faculty and their collaborators:
- How do variations in the human genome affect the risks of diseases such as cancer, coronary artery disease, and autism?
- Do infection, diet, or stress serve as environmental triggers of Type 1 diabetes?
- What novel, useful organisms will be discovered by sequencing microbes from extreme environments?
- Can characterization of the small molecules in algae lead to new biofuels?
- How can we control diseases of important food crops?
- How can plants be modified to increase their productivity and quality?
- What changes can we make to proteins to enhance their performance?
- Can we model and predict life’s basic processes?
- How can we glean useful information from vast datasets?
Here are just some of the recent highlights involving people and projects at the Genome Center. Please see the news page for a full list of all news items.
From kicking off the day with a talk on ancient DNA from a costume clad Dr. Beth Shapiro to slides shared about spider diversity, PacBio sequencing, and mint breeding, the 2019 Halloween Symposium was a success. Prizes were awarded for best individual costume (winner: Mia Kelley), best lab costume (Dennis Lab), best pumpkin ... Read more...
Recent publication: Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders
It is difficult to identify the genetic causes of specific clinical symptoms of neurodevelopmental disorders due to genetic heterogeneity and overlap of these disorders. Thus, this study identified a module, called MAGI-S, enriched with de novo non-synonymous mutations and can illuminate networks that underlie the epilepsy phenotype.
Chow et al. ... Read more...
Thursday, October 31st
8:00 am- 3:00 pm, GBSF 1005 and LOBBY
8:00-8:45 am Set-up & Registration: Pumpkin Carving, Poster Presenters, and Costume Contestants Morning Coffee Refreshments
8:45 am Opening Remarks and Introduction to the ... Read more...
Recent Publication: Generating the Blood Exposome Database Using a Comprehensive Text Mining and Database Fusion Approach
A recent publication by Dinesh Kumar Barupal and Fiehn in Environmental Health Perspectives used data available on PubMed to generate a comprehensive blood exposome database, which can be found at this link.
Recent Publication: Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning
A recent publication in the Journal of Veterinary Internal Medicine from Bradley et al. presents a model developed to predict the risk of cats developing chronic kidney disease. The study showed that machine learning-based models can support veterinary decision making.