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Bastien Boussau

Researcher at University of Lyon

Publications -  79
Citations -  7515

Bastien Boussau is an academic researcher from University of Lyon. The author has contributed to research in topics: Phylogenetic tree & Genome. The author has an hindex of 35, co-authored 71 publications receiving 6443 citations. Previous affiliations of Bastien Boussau include École normale supérieure de Lyon & Lyons.

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Whole-genome analyses resolve early branches in the tree of life of modern birds

Erich D. Jarvis, +116 more
- 12 Dec 2014 - 
TL;DR: A genome-scale phylogenetic analysis of 48 species representing all orders of Neoaves recovered a highly resolved tree that confirms previously controversial sister or close relationships and identifies the first divergence in Neoaves, two groups the authors named Passerea and Columbea.
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Mesophilic crenarchaeota: proposal for a third archaeal phylum, the Thaumarchaeota

TL;DR: It is shown that these mesophilic archaea are different from hyperthermophilic Crenarchaeota and branch deeper than was previously assumed, and should be considered as a third archaeal phylum, which the authors propose to name Thaum archaeota.
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RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language

TL;DR: RevBayes is a new open-source software package based on probabilistic graphical models, a powerful generic framework for specifying and analyzing statistical models that outperforms competing software for several standard analyses and needs to explicitly specify each part of the model and analysis.
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Genome-scale coestimation of species and gene trees

TL;DR: A new probabilistic model is presented to jointly infer rooted species and gene trees for dozens of genomes and thousands of gene families and yields a more accurate picture of ancestral genomes than the trees available in the authoritative database Ensembl.
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Statistical binning enables an accurate coalescent-based estimation of the avian tree

TL;DR: A statistical binning technique to address gene tree estimation error is developed and used to produce the first genome-scale coalescent-based avian tree of life, which is helpful in providing more accurate estimations of ILS levels in biological data sets.