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Subtle Accents
Subtle Accents

...  A Special class template for individuals to be used as building blocks, individual code is added to the template file, and compiled on the fly. The template wraps individuals trees as building blocks. These template based individuals can then be also used in other runs as building blocks.  Run bu ...
Lecture3_HomologyAndAlignment2014_10sept
Lecture3_HomologyAndAlignment2014_10sept

... • Sequence alignment – quantitative; constructing the best alignment using a scoring scheme Types of Alignment • Global – best alignment over the entire length • Local – best alignment in small region; used when comparing sequences of different lengths • Multiple – beyond pairwise cagcacttggattctgg ...
Slide 1
Slide 1

Document
Document

Introduction to microarry
Introduction to microarry

... expressed at least in one condition. Post Hoc test finds the condition(s) that changes gene expression. – Tow- or higher-way ANOVA One-way ANOVA test only one factor, treatment effect. In microarray there are more than one factors. Some of these are the factors that we are not interested but are not ...
pptx
pptx

... usually not all sites in a sequence are under selection all the time. PAML (and other programs) allow to either determine omega for each site over the whole tree, ...
A Skill Is Born: The Emergence of Web Site Design Skills (1994
A Skill Is Born: The Emergence of Web Site Design Skills (1994

Random Variables & Entropy: Examples
Random Variables & Entropy: Examples

... – This data shows the normalized, relative size of a rodent as seen from an overhead camera for 8 behaviors ...
FPGA Power Reduction Using Configurable Dual-Vdd
FPGA Power Reduction Using Configurable Dual-Vdd

...  The current through each edge can be solved by using nodal analysis (NA) method .  The equations can be written in matrix form as Ax=b, where A is a positive definite diagonally dominant sparse matrix.  The equations can be solved efficiently. ...
Trees from proteins I
Trees from proteins I

Clustering – Exercises
Clustering – Exercises

... These images give you a view to the distance matrix even without the dendrogram. If you look at the image generated from samples, you’ll notice that there are some clusters of highly correlated samples, mostly near the diagonal line running from lower left-hand corner to the upper right-hand corner. ...
Remarks on Big Data Clustering (and its
Remarks on Big Data Clustering (and its

Lophotrochozoan relationships and parasites. A snap-shot
Lophotrochozoan relationships and parasites. A snap-shot

... There is a body of evidence (morphological and molecular) that Phoronida and Brachiopoda are closely related, and phoronids might be even a subtaxon of brachiopods (Cohen, 2000; Cohen & Weydmann, 2005). No parasitic forms are known for these two taxa. Still controversially discussed is the phylogene ...
CAFE: Computational Analysis of gene Family Evolution
CAFE: Computational Analysis of gene Family Evolution

Beisel, Craig Jason
Beisel, Craig Jason

Study Guide - WordPress.com
Study Guide - WordPress.com

... descended from the common ancestor. A node is a place where a branch splits. It represents the most common ancestor shared by a clade. DNA sequences/genes, amino acid sequences/proteins, hormones, etc. As more research is done and the evolutionary histories of different species become better underst ...
Inductive Reasoning
Inductive Reasoning

FILTUS: a desktop GUI for fast and efficient
FILTUS: a desktop GUI for fast and efficient

... FILTUS accepts virtually any variant files, in contrast to most existing programs which are limited to Variant Call Format (VCF) or other specific input formats. Typical examples of non-standard formats are VCF files with additional columns, and files produced by Annovar (Wang et al., 2010). Althoug ...
pplacer: linear time maximum-likelihood and Bayesian phylogenetic
pplacer: linear time maximum-likelihood and Bayesian phylogenetic

... tool for the evolutionary analysis of sequence data. It has well-developed statistical foundations for inference [14,15], tests for uncertainty estimation [16], and sophisticated evolutionary models [17,18]. In contrast to distance-based methods, likelihood-based methods can use both low and high va ...
Inked
Inked

Background concepts for sequence analysis Ana, homo
Background concepts for sequence analysis Ana, homo

Humans Evolved in Response to a Challenge
Humans Evolved in Response to a Challenge

Lecture1
Lecture1

... numbers (higher degree of belief represented by a larger number) • With extra evidence supporting a proposition, the plausibility should increase monotonically up to a limit (certainty). • Consistency. Multiple ways to arrive at a conclusion must all produce the same answer (see book for additional ...
Cytochrome C Comparison Lab
Cytochrome C Comparison Lab

CSCE590/822 Data Mining Principles and Applications
CSCE590/822 Data Mining Principles and Applications

... questions in microarray studies (e.g. identifying expression signatures of tumor types) are better addressed by other methods (classification, statistical tests).  Clustering algorithms are easy to apply (you cannot really do it wrong), and they are useful for exploratory analysis. But it is diffic ...
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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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