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

Datelife is up on CRAN! (https://cran.r-project.org/web/packages/datelife/index.html)

Kiana and Randy graduated and are both headed to grad school in the fall! Congrats!!

Lesly submitted her D+ paper! BioRxiv link

Old news:

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.