Publications

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135 Publications visible to you, out of a total of 135

Abstract

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Authors: Robert C. Edgar, Jeff Taylor, Tomer Altman, Pierre Barbera, Dmitry Meleshko, Victor Lin, Dan Lohr, Gherman Novakovsky, Basem Al-Shayeb, Jillian F. Banfield, Anton Korobeynikov, Rayan Chikhi, Artem Babaian

Date Published: 10th Aug 2020

Publication Type: Journal

Abstract

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Authors: Alexey Kozlov, Joao Alves, Alexandros Stamatakis, David Posada

Date Published: 2nd Aug 2020

Publication Type: Journal

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Author: Lukas Hubner

Date Published: 1st Jun 2020

Publication Type: Master's Thesis

Abstract (Expand)

Motivation Recently, Lemoine et al. suggested the transfer bootstrap expectation (TBE) branch support metric as an alternative to classical phylogenetic bootstrap support for taxon-rich datasets.. However, the original TBE implementation in the booster tool is compute- and memory-intensive. Results We developed a fast and memory-efficient TBE implementation. We improve upon the original algorithm by Lemoine et al. via several algorithmic and technical optimizations. On empirical as well as on random tree sets with varying taxon counts, our implementation is up to 480 times faster than booster. Furthermore, it only requires memory that is linear in the number of taxa, which leads to 10× to 40× memory savings compared with booster. Availability and implementation Our implementation has been partially integrated into pll-modules and RAxML-NG and is available under the GNU Affero General Public License v3.0 at https://github.com/ddarriba/pll-modules and https://github.com/amkozlov/raxml-ng. The parallel version that also computes additional TBE-related statistics is available at: https://github.com/lutteropp/raxml-ng/tree/tbe. Supplementary information Supplementary data are available at Bioinformatics online.

Authors: Sarah Lutteropp, Alexey M Kozlov, Alexandros Stamatakis

Date Published: 1st Apr 2020

Publication Type: Journal

Abstract

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Authors: Ben Bettisworth, Alexandros Stamatakis

Date Published: 14th Feb 2020

Publication Type: Journal

Abstract (Expand)

Terraces in phylogenetic tree space are, among other things, important for the design of tree space search strategies. While the phenomenon of phylogenetic terraces is already known for unlinked partition models on partitioned phylogenomic data sets, it has not yet been studied if an analogous structure is present under linked and scaled partition models. To this end, we analyze aspects such as the log-likelihood distributions, likelihood-based significance tests, and nearest neighborhood interchanges on the trees residing on a terrace and compare their distributions among unlinked, linked, and scaled partition models. Our study shows that there exists a terrace-like structure under linked and scaled partition models as well. We denote this phenomenon as quasi-terrace. Therefore quasi-terraces should be taken into account in the design of tree search algorithms as well as when reporting results on ‘the’ final tree topology in empirical phylogenetic studies.

Authors: Paula Breitling, Alexandros Stamatakis, Olga Chernomor, Ben Bettisworth, Lukasz Reszczynski

Date Published: 18th Oct 2019

Publication Type: Journal

Abstract (Expand)

Motivation Gene and species tree reconciliation methods can be used to root gene trees and correct uncertainties that are due to scarcity of signal in multiple sequence alignments. So far, reconciliation tools have not been integrated in standard phylogenetic software and they either lack of performance on certain functions, or usability for biologists. Results We present Treerecs, a phylogenetic software based on duplication-loss reconciliation. Treerecs is simple to install and to use, fast, versatile, with a graphic output, and can be used along with methods for phylogenetic inference on multiple alignments like PLL and Seaview. Availability Treerecs is open-source. Its source code (C++, AGPLv3) and manuals are available from https://project.inria.fr/treerecs/

Authors: Nicolas Comte, Benoit Morel, Damir Hasic, Laurent Guéguen, Bastien Boussau, Vincent Daubin, Simon Penel, Celine Scornavacca, Manolo Gouy, Alexandros Stamatakis, Eric Tannier, David P. Parsons

Date Published: 11th Oct 2019

Publication Type: Journal

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