Large scale evolutionary inference
Data that can be used to answer evolutionary questions is being generated on unprecedented scales.
How can we take advantage of evolutionary information in large data sets,
in a way that is:
- biologically informed
- statistically rigorous
- computationally efficient?
Recent news Lesly successfully defends her thesis and graduates from the McTavish Lab. Congratulations Dr. Lopez Fang!
Jasper successfully defends his thesis and graduates from the McTavish Lab. Congratulations Dr. Toscani Field!
Datelife is up on CRAN! (https://cran.r-project.org/web/packages/datelife/index.html)
Old news: Kiana and Randy graduated and are both headed to grad school in the fall! Congrats!!
Lesly submitted her D+ paper! BioRxiv link
Physcraper is published in BMC Bioinformatics and the package accepted into PyOpenSci!
Lucia and Randy got accepted for summer internships at JGI. Congrats!
Joseline acheived an Honorable Mention on her NSF GRFP proposal.
Joseline was accepted for grad school at Boston University. Go Joseline!
Luna, Mark and Emily’s python-opentree paper was accepted for publication at Systematic Biology. Woohoo!
Lesly acheived an Honorable Mention on her NSF GRFP proposal.
Jasper recieved NSF funding to head to China for two months in summer 2019, to work on parallelization and supercomputing for NGS data thorugh IRES ASSURE
UC Merced writup of recent Open Tree of life grant
Prospective graduate students should apply through UC Merced’s Quantitative and Systems Biology (QSB) program.
Funding and training opportunities also available through Intelligent Adaptive Systems national research training grant.