Rapid NJ

Our new neighbour-joining paper (I wrote about it here, but it was called “Accelerated Neighbour-Joining” then) just came online:

Rapid Neighbour-Joining

Martin Simonsen, Thomas Mailund  and Christian N. S. Pedersen

Abstract
The neighbour-joining method reconstructs phylogenies by iteratively joining pairs of nodes until a single node remains. The criterion for which pair of nodes to merge is based on both the distance between the pair and the average distance to the rest of the nodes. In this paper, we present a new search strategy for the optimisation criteria used for selecting the next pair to merge and we show empirically that the new search strategy is superior to other state-of-the-art neighbour-joining implementations.

I have put the source code plus binaries for Linux (Debian and RedHat), Windows and Mac OS X (i386) on this web page.

Author: Thomas Mailund

My name is Thomas Mailund and I am a research associate professor at the Bioinformatics Research Center, Uni Aarhus. Before this I did a postdoc at the Dept of Statistics, Uni Oxford, and got my PhD from the Dept of Computer Science, Uni Aarhus.

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