Members of the McTavish Lab focus on developing efficient methods that take advantage of the novel information in large scale data sets, with an emphasis on reproducibility and open science.
Extensiphy: Placing taxa in a sequence alignment and phylogeny using Next Generation Sequencing reads
Testing the effects of choice of reference genome and SNP calling pipeline parameters on phylogenetic inference.
TreeToReads: Simulating pipelines to generate Next Generation Sequencing reads from realistic phylogenies
Physcraper: Automated phylogenetic updating
The Open Tree of Life
A synthetic phylogenetic tree of all life.