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Nuclear Gene Trees and the Phylogenetic Relationships of the
Nuclear Gene Trees and the Phylogenetic Relationships of the

... Phylogenetic relationships of mangabeys within the Old World monkey tribe Papionini are inferred from analyses of nuclear DNA sequences from five unlinked loci. The following conclusions are strongly supported, based on congruence among trees derived for the five separate gene regions: (1) mangabeys ...
Causes, consequences and solutions of
Causes, consequences and solutions of

... include understanding genome organization, epidemiological investigations, predicting protein functions, and deciding the genes to be analyzed in comparative studies. Despite immense progress in recent years, phylogenetic reconstruction involves many challenges that create uncertainty with respect t ...
A DNA-sequence based phylogeny for triculine snails (Gastropoda
A DNA-sequence based phylogeny for triculine snails (Gastropoda

art
art

Phylogenomics: improving functional predictions for uncharacterized
Phylogenomics: improving functional predictions for uncharacterized

... evolutionary relationships than similarity methods (including clustering) because they allow for evolutionary branches to have different lengths. Thus, in those cases in which gene function correlates with gene phylogeny and in which amounts or rates of change vary between lineages, similarity-based ...
Species tree
Species tree

... • “supertree” The supertree approach estimates phylogenies for subsets of genes with good overlap, then combines these subtree estimates into a supertree. • Depends on the ability to distinguish between orthologs and paralogs; • Supertree approaches are controversial, in part because the methodology ...
Station 1: Double Bubbles Directions: Make a double bubble
Station 1: Double Bubbles Directions: Make a double bubble

... 90% of their population due to a tornado. ...
Classification Algorithms
Classification Algorithms

... (Derived Hypotheses) ...
seq.
seq.

... find that tree that explains sequence data with minimum number of substitutions (tree includes hypothesis of sequence at each of the nodes) Maximum Likelihood analyses given a model for sequence evolution, find the tree that has the highest probability under this model. This approach can also be use ...
Supplementary Methods Sampling and sequencing Five adult C
Supplementary Methods Sampling and sequencing Five adult C

... z measures, for a given GO-slim term, the contrast in selective pressure between the two species accounting for the overall genomic trends. z is expected to be high and positive when the term-specific N/S ratio is substantially higher than the genomic average in C. nigra, and/or substantially lo ...
ppt - Chair of Computational Biology
ppt - Chair of Computational Biology

... * need to know how to search among all possible trees for the most parsimonious ones, and how to infer branch lengths. * sofar only considered simple model of 0/1 characters. DNA sequences have 4 states, protein sequences 20 states. * Justification: is it reasonable to use the parsimony criterion? I ...
LIGNUM: Towards Forest Scientist`s Workbench
LIGNUM: Towards Forest Scientist`s Workbench

... 1. The Finnish Forest Research Institute 2. Dept. of Forest Ecology, University of Helsinki ...
seq.
seq.

... find that tree that explains sequence data with minimum number of substitutions (tree includes hypothesis of sequence at each of the nodes) Maximum Likelihood analyses given a model for sequence evolution, find the tree that has the highest probability under this model. This approach can also be use ...
Applied Bayesian Inference for Agricultural Statisticians
Applied Bayesian Inference for Agricultural Statisticians

... • Formal tests are based on asymptotic (“large sample”) approximations. – Nice properties when n is “large” When is n large enough? – Quasi-likelihood (PROC GENMOD)…what’s that? • “vacuous” (Walt Stroup) for repeated measures specs.→ can’t even simulate data generation process. ...
mca2020 - SMU Assignments
mca2020 - SMU Assignments

Inference of a Phylogenetic Tree: Hierarchical Clustering
Inference of a Phylogenetic Tree: Hierarchical Clustering

... Caminalcules. Although these techniques have a superficial similarity, in that they both use agglomeration as their construction method, their origin and approaches are antithetical. For a small problem space of the original species proposed by Camin (1965) the genetic algorithm was able to produce ...
B 262, F 2006
B 262, F 2006

Comparing data sets It is possible to collect multiple different data
Comparing data sets It is possible to collect multiple different data

... less than 1 in a 1000 chance that two partitions would yield optimal trees that are this close by chance. This is an important point to stress. Even when partitions differ in the optimal tree they support, they generally yield trees that are more similar to each other than would be expected by chanc ...
Stat/For/Hort 572 Larget March 12, 2007 Assignment #6 — Due
Stat/For/Hort 572 Larget March 12, 2007 Assignment #6 — Due

Bio 1B, Spring, 2007, Evolution section 1 of 4 Updated 3/21/07 7:49
Bio 1B, Spring, 2007, Evolution section 1 of 4 Updated 3/21/07 7:49

Diapositiva 1 - Universidad Autonoma de Madrid
Diapositiva 1 - Universidad Autonoma de Madrid

Use DNA Sequencing to Trace the Blue Whale`s Evolutionary Tree
Use DNA Sequencing to Trace the Blue Whale`s Evolutionary Tree

Chapter 7 - Elsevier
Chapter 7 - Elsevier

comparing dna sequences to determine evolutionary relationships
comparing dna sequences to determine evolutionary relationships

... the same species, while there is significant variation in COI sequences of organisms from different species. Therefore, a COI sequence provides a unique sequence signature for a particular species. For the same reasons, the COI gene is suitable for comparing phylogenetic relationships between specie ...
Estimating cancer survival and clinical outcome based on genetic
Estimating cancer survival and clinical outcome based on genetic

... Measure of genetic progression = number of events that have occurred All events are independent and impact on progression is cumulative ...
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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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