Phylogenetic Prediction

Posted 2 years ago by Jesse Zaneveld

School(s) : STEM, Pre-Major Program
Primary PI Name : Jesse Zaneveld
Email : zaneveld@uw.edu
Phone : 425-352-3789
Project/Faculty Website : https://www.uwb.edu/biological-sciences/faculty/biology/jzaneveld
Research Location : UW Bothell
Project Goals : We often think of evolution in terms of the past, but evolutionary models can also make important predictions about the present. For example, knowing where an understudied organism falls on the tree of life can tell us a lot about its likely physiology. These predictions are useful in exploring the microbial world, because microbial diversity is unthinkably immense, but only a tiny fraction of microbes have been studied in culture. We develop cutting-edge software that uses evolutionary models to predict features of understudied organisms. Our PICRUSt software has been widely applied in studies ranging from coral reef disease to studies of patients vulnerability to Clostridium difficile, a terrible and often antibiotic-resistant human gut pathogen.
Student Qualifications : First Year and Sophomores welcome!
Student Outcomes : -Apply evolutionary and phylogenetic methods to inform studies of microbes in the environment and in medicine -Learn programming in the python language, and use it to develop new methods for exploring microbial diversity

  • School(s) : STEM, Pre-Major Program
  • Primary PI Name : Jesse Zaneveld
  • Interested? Contact Faculty Researcher by Email : zaneveld@uw.edu
  • Phone : 425-352-3789
  • Project/Faculty Website : https://www.uwb.edu/biological-sciences/faculty/biology/jzaneveld
  • Research Location : UW Bothell
  • Project Goals : We often think of evolution in terms of the past, but evolutionary models can also make important predictions about the present. For example, knowing where an understudied organism falls on the tree of life can tell us a lot about its likely physiology. These predictions are useful in exploring the microbial world, because microbial diversity is unthinkably immense, but only a tiny fraction of microbes have been studied in culture. We develop cutting-edge software that uses evolutionary models to predict features of understudied organisms. Our PICRUSt software has been widely applied in studies ranging from coral reef disease to studies of patients vulnerability to Clostridium difficile, a terrible and often antibiotic-resistant human gut pathogen.
  • Student Qualifications : First Year and Sophomores welcome!
  • Student Outcomes : -Apply evolutionary and phylogenetic methods to inform studies of microbes in the environment and in medicine
    -Learn programming in the python language, and use it to develop new methods for exploring microbial diversity
  • Number of Student Positions Available : 2