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When Efficient Model Averaging Out
When Efficient Model Averaging Out

Deforestation - University of South Alabama
Deforestation - University of South Alabama

Second Order Terms in Decision Trees
Second Order Terms in Decision Trees

... Ship width > ship height ...
Recursive partitioning for tumor classification with gene
Recursive partitioning for tumor classification with gene

... Expression profiles of 2,000 genes using an Affymetrix oligonucleotide array in 22 normal and 40 colon cancer tissues The response is binary indicating normal or cancer tissue and the predictor variables are the 2000 genes ...
Apr7
Apr7

... Furthermore, disagreements regarding the divergence times have also placed in question any uniformity in evolution rates that are promised by a “molecular clock.” See as one example the article on the time of divergence of the human and the chimp. One of the hypotheses there is that humans, because ...
Testing for Natural Selection on Conserved Non-genic Sequences in Mammals
Testing for Natural Selection on Conserved Non-genic Sequences in Mammals

... The observation of high DNA sequence conservation across long periods of evolutionary time is thought to be a good signal of important regions. Otherwise, the similarity between sequences of species would have eroded by neutral mutation processes. This is also why, in general, higher conservation is ...
Quantitative Methods for Decision Making - IBA - CEE
Quantitative Methods for Decision Making - IBA - CEE

Incomplete lineage sorting and other `rogue` data fell the tree of life
Incomplete lineage sorting and other `rogue` data fell the tree of life

12-History of Lineages
12-History of Lineages

... How can the history of evolution be reconstructed without seeing speciation events? 1) Identification of key characters (heritable parts or attributes of an organism) 2) Transform characters into transformation series 3) Compare these characters to an outgroup 4) Construct a cladogram based on the o ...
intro
intro

... • Variation patterns that we see reflect evolutionary forces ...
20 years and 22 papers with Bernard Moret
20 years and 22 papers with Bernard Moret

... Phylogeny reconstruction in 1999 • Distance-based – Breakpoint (BP) distances [Blanchette, Kunisawa, Sankoff 1999] – fast but high error • Breakpoint tree (NP-hard, even for three taxa) – BPAnalysis: [Sankoff & Blanchette 1998]: exhaustive search through treespace to find the minimum breakpoint len ...
Branching Activity Instructions:
Branching Activity Instructions:

Lecture 7. Data Stream Mining. Building decision trees
Lecture 7. Data Stream Mining. Building decision trees

... No “magic” parameters. Self-adapts to change Always as accurate as CVFDT, and sometimes much better Less memory - no example window Moderate overhead in time (<50%). Working on it Rigorous guarantees possible ...
Taxonomic Issues in Conservation and Using Phylogenies to
Taxonomic Issues in Conservation and Using Phylogenies to

Lectures 11 Friday, October 22, 2010 Phylogenetic tree (phylogeny
Lectures 11 Friday, October 22, 2010 Phylogenetic tree (phylogeny

... Different genes evolve at different rates, which makes them useful for analyzing species that diverged at different times in the past. Ribosomal RNA evolves very slowly. The recognition that Archaea and Bacteria were quite different first came from the analysis of ribosomal RNA sequences. Once the g ...
Sequence Alignment
Sequence Alignment

... phylogeny ...
PowerPoint
PowerPoint

... Similarity criterion for phylogeny • A number of methods (e.g. ClustalW) use sequence identity with Kimura (1983) correction: Corrected K = - ln(1.0-K-K2/5.0), where K is percentage divergence (expressed as sequence identity difference) corresponding to two aligned sequences (often only taking the ...
Pi kur, 2004
Pi kur, 2004

... A: For yeast, a minimum of 20 genes is required to recover 95% bootstrap values for each branch of the species tree (Rokas et al. 2003, Nature) ...
Chapter 2 - FacStaff Home Page for CBU
Chapter 2 - FacStaff Home Page for CBU

problem set5
problem set5

Chapter 19
Chapter 19

... amino acid that is replaced and what it is replaced with  Most mutations that affect phenotype are selected against, some may prove adaptive  Similarities in proteins do not always equal similarity in DNA sequence because of the redundancy in the genetic code ...
Investigating Sequences - BioQUEST Curriculum Consortium
Investigating Sequences - BioQUEST Curriculum Consortium

... To maximise the benefits to the scientific community of Plasmodium genome sequencing, the Pathogen Genomics group is committed to the curation of Plasmodium spp. This will ensure that annotation is updated and maintained, and will form a framework that underpins global efforts to understand the para ...
Problems with computational methods in population
Problems with computational methods in population

Link to Powerpoint
Link to Powerpoint

... – PCR amplify a gene of interest – Tells you what types of organisms are there – Bacteria/Archaea (16S rRNA), Microbial Euks (18S rRNA), Fungi (ITS), Virus (no good marker) ...
Phylogeography
Phylogeography

< 1 ... 45 46 47 48 49 50 51 52 53 ... 60 >

Computational phylogenetics

Computational phylogenetics is the application of computational algorithms, methods, and programs to phylogenetic analyses. The goal is to assemble a phylogenetic tree representing a hypothesis about the evolutionary ancestry of a set of genes, species, or other taxa. For example, these techniques have been used to explore the family tree of hominid species and the relationships between specific genes shared by many types of organisms. Traditional phylogenetics relies on morphological data obtained by measuring and quantifying the phenotypic properties of representative organisms, while the more recent field of molecular phylogenetics uses nucleotide sequences encoding genes or amino acid sequences encoding proteins as the basis for classification. Many forms of molecular phylogenetics are closely related to and make extensive use of sequence alignment in constructing and refining phylogenetic trees, which are used to classify the evolutionary relationships between homologous genes represented in the genomes of divergent species. The phylogenetic trees constructed by computational methods are unlikely to perfectly reproduce the evolutionary tree that represents the historical relationships between the species being analyzed. The historical species tree may also differ from the historical tree of an individual homologous gene shared by those species.Producing a phylogenetic tree requires a measure of homology among the characteristics shared by the taxa being compared. In morphological studies, this requires explicit decisions about which physical characteristics to measure and how to use them to encode distinct states corresponding to the input taxa. In molecular studies, a primary problem is in producing a multiple sequence alignment (MSA) between the genes or amino acid sequences of interest. Progressive sequence alignment methods produce a phylogenetic tree by necessity because they incorporate new sequences into the calculated alignment in order of genetic distance.
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