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. 2017 Jan 17;33(14):2148–2155. doi: 10.1093/bioinformatics/btx098

Fig. 1.

Fig. 1.

Phylogenetic tree construction pipeline. We estimate a rooted covariance matrix, where the root is arbitrarily chosen. We then recover the full covariance matrix, compute the distance matrix, and approximate the distance matrix as a tree structure using the NJ algorithm. Optionally, by supplying the estimated tree into the covariance inference process, we refine the estimated covariances to be most tree-compatible. Finally, we render the Newick tree in SVG format. For better control of the graphics, we recommend using our web service: http://www.jade-cheng.com/graphs/