TAILIEUCHUNG - Báo cáo sinh học: "Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces. | Algorithms for Molecular Biology BioMed Zentral Research Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces Raazesh Sainudiin 1 2 and Thomas York3 4 Open Access Address department of Statistics University of Oxford Oxford OX1 3TG UK 2Biomathematics Research Centre Department of Mathematics and Statistics University of Canterbury Private Bag 4800 Christchurch New Zealand department of Biological Statistics and Computational Biology Cornell University Ithaca New York 14853 USA and 4Boyce Thompson Institute for Plant Research Cornell University Ithaca New York 14853 USA E-mail Raazesh Sainudiin - Thomas York - tly2@ Corresponding author Published 07 January 2009 Received 5 June 2007 Algorithms for Molecular Biology 2009 4 1 doi 1748-7188-4-1 Accepted 7 January 2009 This article is available from http content 4 1 1 2009 Sainudiin and York licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background In phylogenetic inference one is interested in obtaining samples from the posterior distribution over the tree space on the basis of some observed DNA sequence data. One of the simplest sampling methods is the rejection sampler due to von Neumann. Here we introduce an auto-validating version of the rejection sampler via interval analysis to rigorously draw samples from posterior distributions over small phylogenetic tree spaces. Results The posterior samples from the auto-validating sampler are used to rigorously i estimate posterior probabilities for different rooted topologies based on mitochondrial DNA from human chimpanzee and gorilla ii conduct a non-parametric test of rate variation between protein-coding and tRNA-coding .

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