'Tree topologies' diaporamas de présentation

Preview

Preview. What does Recombination do to Sequence Histories. Probabilities of such histories. Quantities of interest. Detecting & Reconstructing Recombinations. Haploid Reproduction Model (i.e. no recombination). 1. 1. 2. 2. 3. 3. 2N. 2N.

562 views • 46 slides

John David Eriksen Jamie Unger-Fink

Using Simulated Partial Dynamic Run-Time Reconfiguration to Share Embedded FPGA Compute and Power Resources across a Swarm of Unpiloted Airborne Vehicles. John David Eriksen Jamie Unger-Fink. Outline. Background Objective Previous Work Resource Sharing Within Single Node

498 views • 34 slides

450 views • 29 slides

Graphical Models for Strategic and Economic Reasoning

Graphical Models for Strategic and Economic Reasoning. Michael Kearns Computer and Information Science University of Pennsylvania BNAIC 2003. Joint work with: Sham Kakade, John Langford, Michael Littman, Luis Ortiz, Satinder Singh. Probabilistic Reasoning.

454 views • 26 slides

Recombination and Pedigrees

Recombination and Pedigrees. Genealogies and Recombination: The ARG Recombination Parsimony The ARG and Data Pedigrees: Models and Data Pedigrees & ARGs Challenges Empirical Investigations: Open Questions. Finding Minimal Recombination Histories. 1. 2. 3. 4. 1. 2. 3. 1. 4. 2. 3.

267 views • 26 slides

New Tools for Visualizing Genome Evolution

New Tools for Visualizing Genome Evolution. Lutz Hamel Dept. of Computer Science and Statistics University of Rhode Island J. Peter Gogarten Dept. of Molecular and Cell Biology University of Connecticut. Motivation.

382 views • 25 slides

Summarising Sets of Phylogenies

Summarising Sets of Phylogenies. Consensus Trees and Split/Consensus Networks. Aidan Budd EMBL Heidelberg Friday July 2nd 2010 Basic Molecular Evolution Workshop: 1 - 2 July 2010 BecA-ILRI Hub, Nairobi, Kenya. Part 2. Causes of Split Incompatibility.

412 views • 23 slides

Homology , Phylogenomics , HGT and its consequences

386 views • 23 slides

Yufeng Wu Dept. of Computer Science and Engineering University of Connecticut

Inference of Complex Genealogical Histories In Populations and Application in Mapping Complex Traits. Yufeng Wu Dept. of Computer Science and Engineering University of Connecticut. Disease mutation. Genealogy: Evolutionary History of Genomic Sequences.

360 views • 20 slides

Recombination, Phylogenies and Parsimony 21.11.05

Recombination, Phylogenies and Parsimony 21.11.05. Overview: The History of a set of Sequences The Ancestral Recombination Graph (ARG) & the minimal ARG Dynamical programming algorithm for finding the minimal ARG Branch and Bound algorithm for minimal ARGs.

332 views • 18 slides

Inferring Local Tree Topologies for SNP Sequences Under Recombination in a Population

Inferring Local Tree Topologies for SNP Sequences Under Recombination in a Population. Yufeng Wu Dept. of Computer Science and Engineering University of Connecticut, USA. Sites. 00100 01010 00101 00010 11101. Haplotypes. Genetic Variations. Sites.

239 views • 17 slides

Inferring Local Tree Topologies for SNP Sequences Under Recombination in a Population

Inferring Local Tree Topologies for SNP Sequences Under Recombination in a Population. Yufeng Wu Dept. of Computer Science and Engineering University of Connecticut, USA. Sites. 00100 01010 00101 00010 11101. Haplotypes. Genetic Variations. Sites.

177 views • 17 slides

Complexity of Bellman-Ford

Complexity of Bellman-Ford . Theorem. The message complexity of Bellman-Ford algorithm is exponential. Proof outline . Consider a topology with an even number nodes 0 through n-1 (the unmarked edges have weight 0). n-4. n-2. 1. 3. 5. 2 0. 2 k. 2 k-1. 2 2. 2 1. n-5. n-3. n-1. 0. 4.

220 views • 16 slides

Recombination Histories & Global Pedigrees

264 views • 15 slides

Recombination Histories & Global Pedigrees

223 views • 15 slides

Maximum likelihood testing model

Maximum likelihood testing model. Definition. Method for the inference of phylogeny Method that searches for the tree with the highest probability or likelihood. Advantages of Maximum likelihood. Lower variance than other methods Least affected by sampling error

238 views • 9 slides

A Coalescent-based Method for Population Tree Inference with Haplotypes

A Coalescent-based Method for Population Tree Inference with Haplotypes. Yufeng Wu Dept. of Computer Science & Engineering University of Connecticut, USA. Population Tree: Population split history (including order and time); not known. Coalescence. Locus (gene): genomic region. Mutation.

219 views • 8 slides