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From Gene Trees with HGT to Species Trees
From Gene Trees with HGT to Species Trees

... the entire genome of their common ancestor ...
Application of whole genome sequencing to fully characterise
Application of whole genome sequencing to fully characterise

... using the Illumina platform. From the 504 samples received, WGS data was obtained for 470 Campylobacter isolates, comprising 351 from IID1 and 119 from IID2. Of these 416 were C. jejuni and 46 were C. coli. We also obtained WGS data from five C. upsaliensis, one C. fetus, one Arcobacter butzleri and ...
Inferring Host Gene Subnetworks Involved in Viral
Inferring Host Gene Subnetworks Involved in Viral

... virus), and infers a subnetwork of directed interactions that provides at least one path from every hit to a predicted interface. By providing these paths, we say that the subnetwork plausibly explains or accounts for the viral phenotype observed when each hit is suppressed. Because the background n ...
Documenting Your Data Entry Practices
Documenting Your Data Entry Practices

... HOW TO USE THIS WORK SHEET: This work sheet lists all of the criteria that can be used to identify patients eligible for cancer screening, as well as patients who should be excluded from cancer screening. These criteria are based on current cancer screening guidelines and recommendations. For each c ...
Approaches to Repeat Finding
Approaches to Repeat Finding

... 2. Extend seeds with Hamming distance and edit (Levenshtein) distance to find approximate repeats ...
Stability Approach to Regularization Selection (StARS) for High
Stability Approach to Regularization Selection (StARS) for High

... b with high probability. In choose one Λ other words, we want to “overselect” instead of “underselect”. Such a choice is motivated by application problems like gene regulatory networks reconstruction, in which we aim to study the interactions of many genes. For these types of studies, we tolerant so ...
Lesson08Phylogenetics
Lesson08Phylogenetics

...  A tree diagram used to illustrate phylogenetic ...
PPTX - Tandy Warnow
PPTX - Tandy Warnow

... • MetaPhyler, MetaPhlAn, and mOTU are marker-based techniques (but use different marker genes). ...
Package 'MatrixEQTL'
Package 'MatrixEQTL'

... SlicedData object with genotype information. Can be real-valued for linear models and must take at most 3 distinct values for ANOVA unless the number of ANOVA categories is set to a higher number (see useModel parameter). ...
PPT - Bioinformatics.ca
PPT - Bioinformatics.ca

... • In many cases in biology, the number of features is much larger than the number of samples • Important features may not be represented in the training data • This can result in overfitting – when a classifier discriminates well on its training data, but does not generalise to orthogonally derived ...
Flexible expressed region analysis for RNA
Flexible expressed region analysis for RNA

... modeling of the number of reads that cross these defined features. We previously proposed an alternative statistical model for finding differentially expressed regions (DERs) that first identifies regions that show differential expression signal and then annotates these regions using previously anno ...
2002-09-12: Segregation Analysis II
2002-09-12: Segregation Analysis II

... Avoid Contaminating Mating Types  Controlled crosses.  Select only the appropriate mating types by ascertaining them through their offspring. ...
Model-Based Clustering for Expression Data via a Dirichlet Process
Model-Based Clustering for Expression Data via a Dirichlet Process

... mixture model based clustering of Medvedovic and Sivaganesan (2002) and Medvedovic et al. (2004). Model-based techniques offer advantages over heuristic schemes, such as the ability to assess uncertainty about the resulting clustering and to formally estimate the number of clusters. This chapter des ...
http://www.gse-journal.org/articles/gse/pdf/1996/06/GSE_0999-193X_1996_28_6_ART0003.pdf
http://www.gse-journal.org/articles/gse/pdf/1996/06/GSE_0999-193X_1996_28_6_ART0003.pdf

... a single QTL together with additive polygenic and residual variance components. The REML analysis was implemented with a derivative-free algorithm. The method overcomes the shortcomings of the traditional methods of linear regression (eg, Haley et al, 1994; Zeng, 1994) and maximum likelihood (ML) in ...
Simple Algorithms to Calculate Asymptotic Null Distributions of
Simple Algorithms to Calculate Asymptotic Null Distributions of

... to three genotypes. The null hypothesis of no association is equivalent to no association in the contingency table. Under the alternative hypothesis, if one of the two alleles confers a high risk of the disease, an individual’s risk having the disease increases with the number of risk alleles in the ...
phylogenetic tree
phylogenetic tree

... All trees will be assumed to be binary (an edge that branches splits into two daughter edges).  Each edge of the tree has a certain amount of evolutionary divergence associated to it. We adopt the general term ‘length’, which will be represented by lengthes of edges on figures.  A true biological ...
STATISTICAL GENETICS `98 Transmission Disequilibrium, Family
STATISTICAL GENETICS `98 Transmission Disequilibrium, Family

... ASPs is to apply a method that correctly accounts for dependencies among sibs when one is testing for linkage disequilibrium (Martin et al. 1997). Whether the TDT method will be more successful than other linkage methods will very likely depend on the population studied (e.g., whether linkage disequ ...
Sp. A Sp. B Sp. C Crown group Stem group
Sp. A Sp. B Sp. C Crown group Stem group

... prior to the origin of modern angiosperms, they were able to root the angiosperm phylogeny without an outgroup, by placing the root between the two gene trees. Less than a month later, Qiu et al. published a paper in Nature based on phylogenetic analysis of 5 genes (from all 3 plant genomes) analysi ...
Protein Sequence Alignment and Database Searching
Protein Sequence Alignment and Database Searching

... •First scoring matrix was used in the comparison of protein sequences in evolutionary terms by Late Margret Dayhoff and coworkers •Matrices –Dayhoff, MDM, or PAM, BLOSUM etc. •Basic BLAST program does not allow gaps in its alignments •Gapped BLAST and PSI-BLAST ...
The Optimal Discovery Procedure II: Applications to Comparative
The Optimal Discovery Procedure II: Applications to Comparative

... In a microarray study, there is very often pervasive asymmetry in differential expression that is not due to chance. Indeed, it would seem unlikely that overall differential expression would be symmetric, unless the experiment was designed to achieve this behavior. Asymmetric differential expression ...
Exploratory data analysis for microarray data
Exploratory data analysis for microarray data

... Metrics and distances A metric d is a function satisfying: 1. non-negativity: d(a, b) ≥ 0; 2. symmetry: d(a, b) = d(b, a); 3. d(a, a) = 0. 4. definiteness: d(a, b) = 0 if and only if a = b; 5. triangle inequality: d(a, b) + d(b, c) ≥ d(a, c). A function only satisfying 1.-3. is called a distance. ...
lecture4-eQTLmapping
lecture4-eQTLmapping

... The genomic regions that contribute to variation in a quantitative phenotype (e.g. blood pressure) ...
PartitionFinder manual
PartitionFinder manual

... similar models. For example, if you have a dataset of 3 protein-coding genes you might suspect that each of the three genes has been evolving differently – perhaps they come from different chromosomes or have experienced different evolutionary constraints. Furthermore, you might think that each codo ...
Evaluation of the phylogenetic position of the planctomycete
Evaluation of the phylogenetic position of the planctomycete

... In recent years, the planctomycetes have been recognized as a phylum of environmentally important bacteria with habitats ranging from soil and freshwater to marine ecosystems. The planctomycetes form an independent phylum within the bacterial domain, whose exact phylogenetic position remains controv ...
Detecting epistasis via Markov bases
Detecting epistasis via Markov bases

... has been given in [15]. In the method described in this paper, we first reduce the potential interacting SNPs to a small number by filtering all SNPs genome-wide with a single locus approach. The loci achieving some threshold are then further examined for interactions. Such a two-stage approach has ...
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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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