2019
DOI: 10.11646/zootaxa.4567.2.11
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Building combined MRP-matrices with BuM, an automated web-tool

Abstract: 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 … Show more

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Cited by 5 publications
(2 citation statements)
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“…After uploading a text file with the input area cladograms, iSAMBA generates the MRP‐combined matrix (cf. Hammoud et al, 2019; Santos et al, 2021), making it available to download in “.nex” and “.ss” files format. The MRP‐combined matrix can be analysed in any software that performs parsimony analysis such as TNT (Goloboff & Catalano, 2016) or Mesquite (Maddison & Maddison, 2019) (STEP 4).…”
Section: Implementing the Methods Through Isambamentioning
confidence: 99%
“…After uploading a text file with the input area cladograms, iSAMBA generates the MRP‐combined matrix (cf. Hammoud et al, 2019; Santos et al, 2021), making it available to download in “.nex” and “.ss” files format. The MRP‐combined matrix can be analysed in any software that performs parsimony analysis such as TNT (Goloboff & Catalano, 2016) or Mesquite (Maddison & Maddison, 2019) (STEP 4).…”
Section: Implementing the Methods Through Isambamentioning
confidence: 99%
“…These databases represent a great optimization of the efforts made by distinct projects, as they will allow the continuity in the use of generated data. In addition, a few projects were involved with the development of computational tools, such as those presented by Hirakama et al ( 2009), Hammoud et al (2019aHammoud et al ( , 2019b and Santos & Fuhlendorf (2019). Tools of this type can offer new perspectives and analytical facilities that were previously not possible to be performed.…”
Section: Databasesmentioning
confidence: 99%