#55 Phylogenetics and the likelihood gradient with Xiang Ji

the bioinformatics chat

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3+ y ago 57:02

MP3•Pagina principale dell'episodio

In this episode, we chat about phylogenetics with Xiang Ji. We start with a general introduction to the field and then go deeper into the likelihood-based methods (maximum likelihood and Bayesian inference). In particular, we talk about the different ways to calculate the likelihood gradient, including a linear-time exact gradient algorithm recently published by Xiang and his colleagues.

Links:

Gradients Do Grow on Trees: A Linear-Time O(N)-Dimensional Gradient for Statistical Phylogenetics (Xiang Ji, Zhenyu Zhang, Andrew Holbrook, Akihiko Nishimura, Guy Baele, Andrew Rambaut, Philippe Lemey, Marc A Suchard)
BEAGLE: the package that implements the gradient algorithm
BEAST: the program that implements the Hamiltonian Monte Carlo sampler and the molecular clock models

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#Bioinformatics #Genetics #Algorithms #Ngs #Roman Cheplyaka #Biology #Science #Natural Sciences #Sequence #Genomics