Comparing Phylogenetic Trees Side by Side Through iPhyloC, a New Interactive Web-Based Framework.

Current frameworks of side-by-side phylogenetic trees comparison face two issues: (1) accepting mainly binary trees as input and (2) assuming input trees having identical or highly overlapping taxa. However, cladistic comparative studies often lead with multiple nontotally resolved trees with nonidentical sets of taxa. We tackle these issues in this study, presenting the iPhyloC, an interactive web-based framework for comparing phylogenetic trees side by side.

BuM 2.0: Software for online generation of matrices for Brooks Parsimony Analysis.

Brooks Parsimony Analysis is a cladistic biogeographic method that aims to extract biogeographic information from phylogenetic trees, depicting from a group of cladograms a general pattern of relationships among the areas the taxa inhabit. We present here BuM 2.0, an online framework to automatically create matrices for Brooks Parsimony Analysis (BPA) using Baum Ragans algorithm for Matrix Representation with Parsimony.

Building combined MRP-matrices with BuM, an automated web-tool.

The most common methods for combining different phylogenetic trees with uneven but overlapping taxon sampling are the Matrix Representation with Parsimony (MRP) and consensus tree methods. Although straightforward, some steps of MRP are time-consuming and risky when manually performed, especially the preparation of the matrix representations from the original topologies, and the creation of the single matrix containing all the information of the individual trees. Here we present Building MRP-Matrices (BuM), a free online tool for generating a combined matrix, following Baum and Ragan coding scheme, from files containing phylogenetic trees in parenthetical format.

iTUPA: an online automated application to perform Topographic-Unit Parsimony Analysis.

Summary: iTUPA is a free online application for automatizing the Topographic-Unit Parsimony Analysis (TUPA), which identifies areas of endemism based on topography. iTUPA generates species-occurrences matrices based on user-defined topographic units (TUs) and provides a parsimony analysis of the generated matrix. We tested iTUPA after a proposal of regionalization for the Brazilian Atlantic Forest.