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Cluster Analysis in DNA Microarray Experiments
Cluster Analysis in DNA Microarray Experiments

... Clustering is in some sense a more difficult problem than classification. In general, all the issues that must be addressed for classification must also be addressed for clustering. In addition, with clustering, • there is no learning set of labeled observations; • the number of groups is usually unknow ...
Title: Statistical Evidence for Common Ancestry
Title: Statistical Evidence for Common Ancestry

... accepted within the scientific community. However, some potential sources of data that can be used to test the thesis of common ancestry have not yet been formally analyzed. 2. We developed a new test of common ancestry based on nucleotide sequences at amino acid invariant sites in aligned homologou ...
Cluster Analysis in DNA Microarray Experiments
Cluster Analysis in DNA Microarray Experiments

... Clustering is in some sense a more difficult problem than classification. In general, all the issues that must be addressed for classification must also be addressed for clustering. In addition, with clustering, • there is no learning set of labeled observations; • the number of groups is usually un ...
A 15-Myr-Old Genetic Bottleneck - University of California San Diego
A 15-Myr-Old Genetic Bottleneck - University of California San Diego

... the Iochrominae, additional S-alleles were obtained from GenBank for the following species (number of alleles): Lycium andersonii (10), Nicotiana alata (6), Petunia integrifolia (6), Physalis cinerascens (12), Solanum carolinense (9), and Witheringia solanacea (15) (see Supplementary Material online ...
IPESA-II
IPESA-II

... obtained archive is not an ideal distribution result. A better archive is that individual C is preserved and either D or Y is removed, which, in fact, is the result of the entry of the candidates into the archive in the order of X, Y, and Z. In addition, if the enter order is Y, Z, and X, both the a ...
09ConsensusGene
09ConsensusGene

... the support for each potential clade is estimated from multiple loci, and the most strongly supported clades are placed in a single “concordance tree,” adjusting for a prior distribution on the number of distinct gene trees that a sample is predicted to contain. In the absence of processes such as h ...
Acanthamoeba mitochondrial 16S rDNA sequences: inferred
Acanthamoeba mitochondrial 16S rDNA sequences: inferred

Cross-mining Binary and Numerical Attributes
Cross-mining Binary and Numerical Attributes

Analysis of the mitochondrial COI gene and its
Analysis of the mitochondrial COI gene and its

Multifractal analysis of DNA sequences using a novel chaos
Multifractal analysis of DNA sequences using a novel chaos

... two of them on the 1=f spectrum of DNA sequences [3]. By mapping the sequence onto a (1D) walk, Peng and others have built a kind of interface, whose statistics were used to probe the range of correlation of the sequences [4,5]. Linguistic features were claimed to have been found in noncoding DNA s ...
Towards an accurate identification of mosaic genes and
Towards an accurate identification of mosaic genes and

Lecture Slides (PowerPoint)
Lecture Slides (PowerPoint)

... Generating admissible heuristics The cost of an optimal solution to a relaxed problem is an admissible heuristic for the original problem. ...
Lecture Slides (PowerPoint)
Lecture Slides (PowerPoint)

... Generating admissible heuristics The cost of an optimal solution to a relaxed problem is an admissible heuristic for the original problem. ...
Modelling Genetic Variations using Fragmentation
Modelling Genetic Variations using Fragmentation

... Following the various popular culinary processes in Bayesian nonparametrics, we will start by describing the law of π in terms of the conditional distribution of the cluster membership of each sequence i given those of 1, . . . , i − 1. Since we have a Markov process with a time index, the metaphor ...
DNA Sequence Capture and Enrichment by Microarray Followed by
DNA Sequence Capture and Enrichment by Microarray Followed by

... capture, including solid phase– based microarrays and solution phase– based methods (15–18 ). Owing to the limited availability of the SureSelect™ system (Agilent Technologies) and the complexity of synthesizing padlock probes, we used the microarray method in this study (16 ). This recently develop ...
Hidden Markov Models
Hidden Markov Models

... • Consider the total probability of all hidden sequences under a given HMM. • Let fL(i) be the sum of the probabilities of all hidden sequences upto i that end in the state L. • Then fL(i) is given by ...
Analysing thousands of bacterial genomes: gene annotation
Analysing thousands of bacterial genomes: gene annotation

... Interpretation: this shows that with increase in –depth level, you select more number of species for phylogenetic profiles which sometime leads to over-representation of particular taxon, hence it may bias the result. Increase in –depth level also increases the program execution time. ...
Recursive Splitting Problem Consider the problem where an
Recursive Splitting Problem Consider the problem where an

Basic principles of probability theory
Basic principles of probability theory

... calculating posterior distributions. Convenient priors can easily be incorporated into calculations but they are not ideal and they may result in incorrect results and interpretation. If prior knowledge says that some parameters are impossible then no experiment can change it. For example if prior i ...
Yet viruses cannot be included in the tree of life - Université Paris-Sud
Yet viruses cannot be included in the tree of life - Université Paris-Sud

... additional tree of the clamp loader protein from Mimivirus (MIMI_R395) and from Ectocarpus siliculosus virus-1 (ESV-1) with their cellular homologues. The viruses appear at the base of eukaryotes, which is taken as “evidence of deep Mimivirus gene ancestry” (Ref. 4). This kind of assertion can be te ...
Towards an accurate identification of mosaic genes and partial
Towards an accurate identification of mosaic genes and partial

Time Dependency of Molecular Rate Estimates and Systematic
Time Dependency of Molecular Rate Estimates and Systematic

... Time Dependency of Molecular Rate Estimates and Systematic Overestimation of Recent Divergence Times Simon Y. W. Ho,* Matthew J. Phillips,* Alan Cooper,*1 and Alexei J. Drummond  *Henry Wellcome Ancient Biomolecules Centre, Department of Zoology, University of Oxford, Oxford, United Kingdom; and  Ev ...
Phylogenetic Relationships among Agamid Lizards of the Laudakia
Phylogenetic Relationships among Agamid Lizards of the Laudakia

... Kopet-Dagh Mountains of southern Turkmenistan. Geographically isolated populations attributed to L. caucasia are found in the Little and Big Balkhan mountains north of the Kopet-Dagh Mountains in southern Turkmenistan. Laudakia erythrogastra occurs in the eastern Kopet-Dagh Mountains and the Badkyz ...
PowerPoint slides - University of Maryland at College Park
PowerPoint slides - University of Maryland at College Park

... satisfy the minimum similarity threshold  Help users determine the ...
Phat—a gene finding program for Plasmodium falciparum
Phat—a gene finding program for Plasmodium falciparum

... second order model for introns and intergenic regions. Maximum likelihood estimates for the Markovian probabilities can be obtained from coding Hexamer frequencies and trimer frequencies for introns and intergenic regions. One slight problem with frequency-based estimation is that some observed freq ...
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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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