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Algorithms in Computational Biology Building Phylogenetic Trees
Algorithms in Computational Biology Building Phylogenetic Trees

... • The edge lengths in the resulting tree can be viewed as times measured by a molecular clock with a constant rate • The divergence of sequences is assumed to occur at the same constant rate at all points in the tree • The distance from an internal node to a leaf node will always be the same no matt ...
Statistical methods for detecting signals of natural selection
Statistical methods for detecting signals of natural selection

... populations. Population 1 is gradually becoming bluer, while population 2 is becoming yellower. This is however not a result of natural selection, because all phenotypes have been specified as equally fit in the simulation behind Fig. 1. What is then the cause of differentiation between these two po ...
Hypergraph and protein function prediction with gene expression data
Hypergraph and protein function prediction with gene expression data

... The un-normalized, symmetric normalized, and random walk graph Laplacian based semi-supervised learning methods are developed based on the assumption that the labels of two adjacent proteins or genes in the network are likely to be the same [6]. In this paper, we use gene expression data for protein ...
Genetic Algorithms Practical Issues: Representations
Genetic Algorithms Practical Issues: Representations

... use the same coding scheme as shown for the scaling example previously, including using an ‘INT’ function to remove fractions, and then divide by ten ...
Bioinformatics Dr. Víctor Treviño  Pabellón Tec
Bioinformatics Dr. Víctor Treviño Pabellón Tec

... a tree is referred to as the tree length. The tree is also a bifurcating or binary tree, in that only two branches emanate from each node. Trees can have more than one branch emanating from a node if the events separating taxa are so close that they cannot be resolved, or to simplify the tree. The u ...
Week4-Blast/MSA
Week4-Blast/MSA

... Smith-Waterman algorithm (JMB 147:195-97, 1981) •  A set of heuristics were applied to the above algorithm to make it less greedy, so it is less sensitive but runs faster •  Implements Dynamic programming •  Provide local alignment between two sequences •  Both BLAST and FASTA use this algorithm wit ...
Rate Asymmetry After Genome Duplication Causes Substantial
Rate Asymmetry After Genome Duplication Causes Substantial

... Attraction Artifacts in the Phylogeny of Saccharomyces Species Mario A. Fares,*  Kevin P. Byrne,* and Kenneth H. Wolfe* *Department of Genetics, Smurfit Institute, University of Dublin, Trinity College, Dublin 2, Ireland; and  Department of Biology, National University of Ireland, Maynooth, County K ...
Learning Distance Functions in k-Nearest
Learning Distance Functions in k-Nearest

... The kNN classifier [18, 6], is one of the oldest and simplest methods used for classification, and is a supervised learner. Even though it is simple it often yields competitive results[5]. The kNN classifier classifies unlabeled pattern by the majority label among its k-nearest neighbours. ...
Computational Biology
Computational Biology

... Often, the list of good reversals contains nonoverlapping reversals, and the order in which these reversals are performed is often irrelevant. Compute for each good reversal  the number of good reversals n that will be available if  is carried out. Then choose the good reversal with the maximal n ...
Gene Functional Classification from Heterogeneous Data (2001, P
Gene Functional Classification from Heterogeneous Data (2001, P

... expression data with “excellent classification performance” Combining heterogeneous data sets is mentioned (Marcotte, Pellegrini, . . . 1999) but with data sets considered separately rather than at once. This paper asserts that: “the performance of SVM’s when data types are combined and a single hyp ...
Peppered Moths and Natural Selection
Peppered Moths and Natural Selection

... manually placed on tree trunks and then the birds ate them. This is something that does not occur naturally. Many researchers have commented on the gluing techniques used—see Lee 1975. Moths are active during the day. Fact: Moths do not fly during the day. They are inactive during the day and only f ...
2. Estimating θ - UNC Computational Genetics
2. Estimating θ - UNC Computational Genetics

... • Assume u1=u2, two genes are of same length, then θ1=θ2. If k1=1 and k2=7, L(θ1, θ2, 0)=0.0014 L(θ1, θ2, ∞) =0.0067 (θL = 4 is the maximum likelihood estimator for both ρ=0 and ∞) The likelihood supports two unlinked loci(ρ= ∞) more than two completely linked loci(ρ=0).  ρ>0 even though the data p ...
Recent developments in genetic data analysis: what can
Recent developments in genetic data analysis: what can

... rates of different processes – mutations, coalescences, recombinations (if included in the model) – and it is these relative rates that are affected by the demographic history. Thus the number of parameters that can be independently estimated is generally one less than the total, and the models are ...
Article A Molecular Evolutionary Reference for the Human Variome
Article A Molecular Evolutionary Reference for the Human Variome

... this set represents a miniscule proportion of all positions analyzed (0.4%), it likely contains many candidates for adaptive evolution. We reasoned that if the fixation of an evolutionarily unlikely allele at a position was due to adaptation (including functional compensation), then mutations that r ...
Friedman N, Linial M, Nachman I, Pe'er D. (2000). Using Bayesian networks to analyze expression data. J Comput Biol. 7, 601-20.
Friedman N, Linial M, Nachman I, Pe'er D. (2000). Using Bayesian networks to analyze expression data. J Comput Biol. 7, 601-20.

... Most of the analysis tools currently used are based on clustering algorithms. These algorithms attempt to locate groups of genes that have similar expression patterns over a set of experiments (Alon et al., 1999; Ben-Dor et al., 1999; Eisen et al., 1999; Michaels et al., 1998; Spellman et al., 1998) ...
Conflicting Phylogenies for Early Land Plants are Caused by
Conflicting Phylogenies for Early Land Plants are Caused by

... The problem underlying the conflict in many of these studies can be viewed as a question of where to place the charophyte root on a tree consisting of (in sequence) liverworts–mosses–hornworts–tracheophytes. If the root is placed between hornworts and tracheophytes then bryophytes will be monophyleti ...
Using Bayesian Networks to Analyze Expression Data
Using Bayesian Networks to Analyze Expression Data

... Most of the analysis tools currently used are based on clustering algorithms. These algorithms attempt to locate groups of genes that have similar expression patterns over a set of experiments (Alon et al., 1999; Ben-Dor et al., 1999; Eisen et al., 1999; Michaels et al., 1998; Spellman et al., 1998) ...
Modeling Linkage Disequilibrium and Identifying Recombination
Modeling Linkage Disequilibrium and Identifying Recombination

... Figure 2.—Illustration of how ␲A(hk⫹1|h1, . . . , hk) builds hk⫹1 as an imperfect mosaic of h1, . . . , hk. This illustrates the case k ⫽ 3 and shows two possible values (h4A and h4B) for h4, given h1,h2,h3. Each of the possible h4’s can be thought of as having been created by “copying” (imperfectly ...
Wolfinger Russ - MCP Conference 2015
Wolfinger Russ - MCP Conference 2015

... • Is it possible to dialectically reconcile conflicting perspectives, or at least provide an explanatory (and hence mollifying) framework? ...
Comparison of three molecular methods for typing Aeromonas
Comparison of three molecular methods for typing Aeromonas

... (Maslow et al. 1993). However, when compared with RAPDs for typing A. hydrophila isolates, the latter was simpler, cheaper, and quicker to perform, and consequently more suitable for epidemiological studies (Talon et al. 1998). Recently, restriction fragment length polymorphism (RFLP) of the 16S-23S ...
doc - Lonely Joe Parker
doc - Lonely Joe Parker

... sister tips’ MRCA). It is therefore important to ensure appropriate phylogenetic contrasts are made. We may therefore refine this technique by using an ancestral reconstruction technique to infer ancestral nucleotide and/or amino-acid sequences, typically by maximum-likelihood. Reconstructing the an ...
Phylogenetic analysis of the insect order Odonata using 28S and
Phylogenetic analysis of the insect order Odonata using 28S and

... Phylogenetic inference Phylogenetic relationships were inferred with PAUP* (version 4.0b10; Swofford 2002) using the neighborjoining (NJ) method (Saitou & Nei 1987), the maximum parsimony (MP) method and the maximum likelihood (ML) method. A computer program (MODELTEST version 3.06; Posada & Crandal ...
Compressed suffix tree—a basis for genome
Compressed suffix tree—a basis for genome

... rather an asymptotic effect. When examined more carefully, one notices that a sequence of length n from an alphabet  requires only n log jj bits of space, whereas its suffix tree requires Oðn log nÞ bits. Hence, the space requirement is by no means linear when measured in bits. The size bottleneck ...
XML schema for the trait, genotype and mRNA expression data
XML schema for the trait, genotype and mRNA expression data

... The integral XML Schema of the eQTL data can be split into sub schemas describing the essential data sets used in eQTL analysis. Each of the XML Schemas for core entities can be used on their own as separate XML schemas for the corresponding data sets. The consequences of using different root elemen ...
The Use of Cytochrome B Sequence Variation in Estimation of
The Use of Cytochrome B Sequence Variation in Estimation of

... able in the programs. In each analysis, 1,000 bootstrap data bases were created from which trees were constructed. A consensustree of the bootstrap trees was made with the program Consensus, which constructed a majority rule tree. This program producesa consensustree that consists of all groups that ...
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Quantitative comparative linguistics

Statistical methods have been used in comparative linguistics since at least the 1950s (see Swadesh list). Since about the year 2000, there has been a renewed interest in the topic, based on the application of methods of computational phylogenetics and cladistics to define an optimal tree (or network) to represent a hypothesis about the evolutionary ancestry and perhaps its language contacts. The probability of relatedness of languages can be quantified and sometimes the proto-languages can be approximately dated.The topic came the attention of the popular press in 2003 after the publication of a short study on Indo-European in Nature (Gray and Atkinson 2003). A volume of articles on Phylogenetic Methods and the Prehistory of Languages was published in 2006 as the result of a conference held in Cambridge in 2004.A goal of comparative historical linguistics is to identify instances of genetic relatedness amongst languages. The steps in quantitative analysis are (i) to devise a procedure based on theoretical grounds, on a particular model or on past experience, etc. (ii) to verify the procedure by applying it to some data where there exists a large body of linguistic opinion for comparison (this may lead to a revision of the procedure of stage (i) or at the extreme of its total abandonment) (iii) to apply the procedure to data where linguistic opinions have not yet been produced, have not yet been firmly established or perhaps are even in conflict.Applying phylogenetic methods to languages is a multi-stage process (a) the encoding stage - getting from real languages to some expression of the relationships between them in the form of numerical or state data, so that those data can then be used as input to phylogenetic methods (b) the representation stage - applying phylogenetic methods to extract from those numerical and/or state data a signal that is converted into some useful form of representation, usually two dimensional graphical ones such as trees or networks, which synthesise and ""collapse"" what are often highly complex multi dimensional relationships in the signal (c) the interpretation stage - assessing those tree and network representations to extract from them what they actually mean for real languages and their relationships through time.
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