Lyndon Coghill

Research at the intersection of biology & data science

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I am a biologist, statistics and computing enthusiast, and HPC troublemaker currently serving as a Director of Informatics, for the Division of Research at the University of Missouri. My work here is focussed on building data-driven, across discipline, integrative research programs and supporting researchers in translational, computational approaches. My personal research focuses on using modern computational approaches to answering questions in biology related to biodiversity and genetic variation.








  • Hinchliff, Cody E., Smith, Stephen A., Allman, James F., Burleigh, J. Gordon, Chaudhary, Ruchi, Coghill, Lyndon M., Crandall, Keith A., Deng, Jiabin, Drew, Bryan T., Gazis, Romina, Gude, Karl, Hibbett, David S., Katz, Laura A., Laughinghouse, H. Dail, McTavish, Emily Jane, Midford, Peter E., Owen, Christopher L., Ree, Richard H., Rees, Jonathan A., Soltis, Douglas E., Williams, Tiffani, and Cranston, Karen A. Synthesis of phylogeny and taxonomy into a comprehensive tree of life. Proceedings of the National Academy of Science of the United States of America. 112:41 12764–12769.





Software Projects

Software tools, databases, and pipelines I have contributed to or worked on. View Github for more information and a more updated list of organizations and projects.

A software pipeline implemented to conduct tests of model fit using posterior predictive testing, based on both data- and inference-based test statistics in phylogenetics. This new implementation makes a large spectrum of models available for use through a user-friendly and flexible interface.

RevBayes is a software package designed to conduct Bayesian phylogenetic inference using probabilistic graphical models and an interpreted language.

Phyloboost is a python pipeline and web application that allows the reconstruction, augmentation, and visualizaton of similarity-cluster-based tree sets constructed from an input dataset of sequences.

OpenTree of Life

The Open Tree of Life is an online phylogenetic tree of life, funded by the National Science Foundation. The first draft, including 2.3 million species, was released in September 2015. The Interactive graph allows the user to zoom in to taxonomic classifications, phylogenetic trees, and information about a node.