2017
DOI: 10.1101/153916
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UFBoot2: Improving the Ultrafast Bootstrap Approximation

Abstract: The standard bootstrap (SBS), despite being computationally intensive, is widely used in maximum likelihood phylogenetic analyses. We recently proposed the ultrafast bootstrap approximation (UFBoot) to reduce computing time while achieving more unbiased branch supports than SBS under mild model violations. UFBoot has been steadily adopted as an efficient alternative to SBS and other bootstrap approaches.Here, we present UFBoot2, which substantially accelerates UFBoot and reduces the risk of overestimating bran… Show more

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Cited by 619 publications
(680 citation statements)
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“…Branch support was calculated with 5,000 replications (‐bb option) using the ultrafast bootstrap approximation (Hoang et al. ).…”
Section: Methodsmentioning
confidence: 99%
“…Branch support was calculated with 5,000 replications (‐bb option) using the ultrafast bootstrap approximation (Hoang et al. ).…”
Section: Methodsmentioning
confidence: 99%
“…The substitution model for each partition was chosen by jModeltest2 (Darriba, Taboada, Doallo, & Posada, ) according to Akaike information criterion. Nodal support was assessed using 1,000 ultrafast bootstrap replicates (Hoang, Chernomor, von Haeseler, Minh, & Vinh, ). The choice of multiple outgroups comprising R. amplexicadatus and R. leschenaultii was made based on known polarity within the rousettine radiation (Almeida et al, ; Giannini & Simmons, ; Hassanin et al, ; Juste et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Sequences were partitioned by codon position and the best substitution model for each partition was evaluated with modelfinder (Kalyaanamoorthy, Minh, Wong, Haeseler, & Jermiin, ), followed by maximum‐likelihood inference in iq‐tree 1.6.0 (Nguyen, Schmidt, Haeseler, & Minh, ), and 1,000 bootstrap replicates using the ultrafast bootstrap method UFBOOT2 (Hoang, Chernomor, Haeseler, Minh, & Vinh, ). Haplotype networks for major clades were inferred with popart 1.7 (Leigh & Bryant, ), using median joining networks (Bandelt, Forster, & Rohl, ).…”
Section: Methodsmentioning
confidence: 99%