Welcome to the Kober Lab

Welcome to our lab!

We are interested in using rich demographic, clinical and molecular data to improve our understanding of the molecular mechanisms underlying common symptoms (e.g., fatigue, neuropathy) or treatment failure (i.e., antiretroviral (ARV) therapy failure to treat HIV) experienced by patients with chronic medical conditions (e.g., cancer, HIV infection).

In addition, we hope to develop and improve risk prediction models that would assist clinicians to identify high risk patients and provide recommendations for activity modifying interventions.

In the news...

In support of the research community’s response to the COVID-19 pandemic, since March 2020 Kiley Charbonneau and Maureen Lewis have been performing literature reviews and providing annotations of human and viral genome mappable data for the SARS-CoV-2 Genome Browser for the Crowd-Sourced Data track.
See the whole article in the UCSC Genome Browser News 'May 4th data release for SARS-CoV-2 genome browser' (May 4, 2020)

The Search for Mechanisms Underlying Fatigue Through Gene Expression Profiling. Our research was highlighted in a recent profile of the Fatigue Study Group of the Multinational Association of Supportive Care in Cancer (MASCC) Society.
See the whole article in the MASCC Society News (January 4, 2017)

Bringing Big Data Analysis to the Search for Symptom Relief. Our research was highlighted in a recent profile in the UCSF Science of Caring.
See more in The Science of Caring article (January 9, 2015) .

Photo Credit: Homepage artwork by Catherine Nguyen, RN as part of the SON N294 Introduction to Human Genomics course.