2014, Chapman & Hall/CRC mathematical and computational biology series, ISBN 1466500794, xxx, 365
Book
Systematic Biology, ISSN 1063-5157, 09/2018, Volume 67, Issue 5, pp. 901 - 904
Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular...
Phylogenetics | Visualization | Bayesian inference | Markov chain Monte Carlo | EVOLUTIONARY BIOLOGY | visualization | MAXIMUM-LIKELIHOOD | phylogenetics | MODEL | PARAMETERS | INFERENCE | POPULATION-DYNAMICS | Software for Systematics and Evolution
Phylogenetics | Visualization | Bayesian inference | Markov chain Monte Carlo | EVOLUTIONARY BIOLOGY | visualization | MAXIMUM-LIKELIHOOD | phylogenetics | MODEL | PARAMETERS | INFERENCE | POPULATION-DYNAMICS | Software for Systematics and Evolution
Journal Article
Annual Review of Ecology, Evolution, and Systematics, ISSN 1543-592X, 12/2005, Volume 36, Issue 1, pp. 445 - 466
Investigation into model selection has a long history in the statistical literature. As model-based approaches begin dominating systematic biology, increased...
Datasets | Posadas | Phylogenetics | Evolution | Data models | Phylogeny | Nucleotides | Topology | Parametric models | Modeling | Likelihood ratio | AIC | Statistical phylogenetics | Decision theory | BIC | BOOTSTRAP SUPPORT | MAXIMUM-LIKELIHOOD-ESTIMATION | decision theory | EMPIRICAL-DATA | SPECIES GROUP | NUCLEOTIDE SUBSTITUTION | MITOCHONDRIAL-DNA | MOLECULAR PHYLOGENY | EVOLUTIONARY RATES | EVOLUTIONARY BIOLOGY | likelihood ratio | statistical phylogenetics | BAYESIAN-INFERENCE | SITE RATE VARIATION | Research | Analysis | Phylogeny (Botany) | Studies | Quantitative genetics | Nature | Data analysis | Taxonomy | Science | Biology | Deoxyribonucleic acid--DNA
Datasets | Posadas | Phylogenetics | Evolution | Data models | Phylogeny | Nucleotides | Topology | Parametric models | Modeling | Likelihood ratio | AIC | Statistical phylogenetics | Decision theory | BIC | BOOTSTRAP SUPPORT | MAXIMUM-LIKELIHOOD-ESTIMATION | decision theory | EMPIRICAL-DATA | SPECIES GROUP | NUCLEOTIDE SUBSTITUTION | MITOCHONDRIAL-DNA | MOLECULAR PHYLOGENY | EVOLUTIONARY RATES | EVOLUTIONARY BIOLOGY | likelihood ratio | statistical phylogenetics | BAYESIAN-INFERENCE | SITE RATE VARIATION | Research | Analysis | Phylogeny (Botany) | Studies | Quantitative genetics | Nature | Data analysis | Taxonomy | Science | Biology | Deoxyribonucleic acid--DNA
Journal Article
Nature Reviews Genetics, ISSN 1471-0056, 05/2012, Volume 13, Issue 5, pp. 303 - 314
Phylogenies are important for addressing various biological questions such as relationships among species or genes, the origin and spread of viral infection...
FOSSIL CALIBRATIONS | EVOLUTIONARY TREES | MAXIMUM-LIKELIHOOD | DNA-SEQUENCES | MIXTURE MODEL | ANCESTRAL POPULATION SIZES | GENETICS & HEREDITY | SPECIES DIVERGENCE TIMES | SUBSTITUTION MODELS | BAYESIAN-ESTIMATION | MULTIPLE SEQUENCE ALIGNMENT | Models, Biological | Base Sequence | Humans | Molecular Sequence Data | Female | Male | Software | Models, Statistical | Phylogeny | Usage | Cladistic analysis | Molecular genetics | Research | Nucleotide sequencing | Methods | DNA sequencing
FOSSIL CALIBRATIONS | EVOLUTIONARY TREES | MAXIMUM-LIKELIHOOD | DNA-SEQUENCES | MIXTURE MODEL | ANCESTRAL POPULATION SIZES | GENETICS & HEREDITY | SPECIES DIVERGENCE TIMES | SUBSTITUTION MODELS | BAYESIAN-ESTIMATION | MULTIPLE SEQUENCE ALIGNMENT | Models, Biological | Base Sequence | Humans | Molecular Sequence Data | Female | Male | Software | Models, Statistical | Phylogeny | Usage | Cladistic analysis | Molecular genetics | Research | Nucleotide sequencing | Methods | DNA sequencing
Journal Article
Molecular Biology and Evolution, ISSN 0737-4038, 08/2012, Volume 29, Issue 8, pp. 1969 - 1973
Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and...
coalescent theory | phylogenetics | evolution | Bayesian phylogenetics | molecular evolution | BIOCHEMISTRY & MOLECULAR BIOLOGY | SPECIES TREES | TIME | INFERENCE | CLOCKS | EVOLUTIONARY BIOLOGY | MODELS | GENETICS & HEREDITY | HISTORY | User-Computer Interface | Computational Biology - methods | Phenotype | Animals | DNA, Mitochondrial - genetics | Base Sequence | Bayes Theorem | Molecular Sequence Data | Finches - genetics | Software | Phylogeny
coalescent theory | phylogenetics | evolution | Bayesian phylogenetics | molecular evolution | BIOCHEMISTRY & MOLECULAR BIOLOGY | SPECIES TREES | TIME | INFERENCE | CLOCKS | EVOLUTIONARY BIOLOGY | MODELS | GENETICS & HEREDITY | HISTORY | User-Computer Interface | Computational Biology - methods | Phenotype | Animals | DNA, Mitochondrial - genetics | Base Sequence | Bayes Theorem | Molecular Sequence Data | Finches - genetics | Software | Phylogeny
Journal Article
Infection, Genetics and Evolution, ISSN 1567-1348, 01/2016, Volume 37, pp. 1 - 7
Since 2000, sporadic imported cases of dengue fever were documented almost every year in Yunnan Province, China. Unexpectedly, a large-scale outbreak of dengue...
Phylogenetic analysis | Imported infection | Outbreak | Bayesian analysis | Dengue | INFECTIOUS DISEASES | MOLECULAR EVOLUTION | TYPE-1 | EPIDEMIOLOGY | REVEALS | Dengue Virus - classification | Viral Envelope Proteins - genetics | Dengue - blood | Humans | Phylogeography | Dengue - epidemiology | Serogroup | Genotype | Male | China - epidemiology | Dengue - virology | Phylogeny | Dengue Virus - genetics | Disease Outbreaks | Bayes Theorem | Female | Medicine, Experimental | Medical research | Health aspects | Dengue viruses | Analysis
Phylogenetic analysis | Imported infection | Outbreak | Bayesian analysis | Dengue | INFECTIOUS DISEASES | MOLECULAR EVOLUTION | TYPE-1 | EPIDEMIOLOGY | REVEALS | Dengue Virus - classification | Viral Envelope Proteins - genetics | Dengue - blood | Humans | Phylogeography | Dengue - epidemiology | Serogroup | Genotype | Male | China - epidemiology | Dengue - virology | Phylogeny | Dengue Virus - genetics | Disease Outbreaks | Bayes Theorem | Female | Medicine, Experimental | Medical research | Health aspects | Dengue viruses | Analysis
Journal Article
Annual Review of Ecology, Evolution, and Systematics, ISSN 1543-592X, 12/2011, Volume 42, Issue 1, pp. 441 - 464
Phylogenetic approaches to biogeography are rapidly becoming more sophisticated. Four types of models are being explored in the literature: ( a ) diffusion...
extinction | stochastic models | parsimony | maximum likelihood | dispersal | diversification | Bayesian inference | vicariance | speciation | Ecological modeling | Phylogeography | Parsimony | Biogeography | Phylogenetics | Evolution | Inference | Stochastic models | Modeling | Speciation | LONG-DISTANCE DISPERSAL | MOLECULAR EVOLUTION | GEOGRAPHIC RANGE EVOLUTION | HUMAN MITOCHONDRIAL-DNA | ISLAND BIOGEOGRAPHY | EVOLUTIONARY BIOLOGY | WEST WIND DRIFT | LIKELIHOOD FRAMEWORK | ECOLOGY | HISTORICAL BIOGEOGRAPHY | ANCESTRAL CHARACTER STATES | DISPERSAL-VICARIANCE ANALYSIS | Analysis | Methods
extinction | stochastic models | parsimony | maximum likelihood | dispersal | diversification | Bayesian inference | vicariance | speciation | Ecological modeling | Phylogeography | Parsimony | Biogeography | Phylogenetics | Evolution | Inference | Stochastic models | Modeling | Speciation | LONG-DISTANCE DISPERSAL | MOLECULAR EVOLUTION | GEOGRAPHIC RANGE EVOLUTION | HUMAN MITOCHONDRIAL-DNA | ISLAND BIOGEOGRAPHY | EVOLUTIONARY BIOLOGY | WEST WIND DRIFT | LIKELIHOOD FRAMEWORK | ECOLOGY | HISTORICAL BIOGEOGRAPHY | ANCESTRAL CHARACTER STATES | DISPERSAL-VICARIANCE ANALYSIS | Analysis | Methods
Journal Article
Annual Review of Ecology, Evolution, and Systematics, ISSN 1543-592X, 1/2013, Volume 44, Issue 1, pp. 99 - 121
High-throughput genomic sequencing is rapidly changing the field of phylogenetics by decreasing the cost and increasing the quantity and rate of data...
Polymerase chain reaction | Biological taxonomies | Taxa | Genomics in Ecology, Evolution and Ststematics Theme | Genomics | Phylogenetics | Genetic loci | Genomes | Phylogeny | Sequencing | Hybridity | Genomic partitioning | Hybrid enrichment | Targeted amplicon sequencing | High-throughput sequencing | Model selection | Locus selection | Transcriptome sequencing | Anchored phylogenomics | RAD sequencing | Next-generation sequencing | Ultraconserved element enrichment | Phylogeny estimation | Target enrichment | Phylogenomics | EUKARYOTIC GENOMES | ULTRACONSERVED ELEMENTS | ENRICHMENT STRATEGIES | transcriptome sequencing | targeted amplicon sequencing | phylogenomics | ultraconserved element enrichment | phylogeny estimation | MAXIMUM-LIKELIHOOD | next-generation sequencing | POPULATION GENOMICS | hybrid enrichment | anchored phylogenomics | model selection | MULTIPLE SEQUENCE ALIGNMENTS | ESTIMATING SPECIES TREES | locus selection | GENE TREES | EVOLUTIONARY BIOLOGY | BAYESIAN PHYLOGENETICS | target enrichment | ECOLOGY | genomic partitioning | high-throughput sequencing | Research | Nucleotide sequencing | DNA sequencing
Polymerase chain reaction | Biological taxonomies | Taxa | Genomics in Ecology, Evolution and Ststematics Theme | Genomics | Phylogenetics | Genetic loci | Genomes | Phylogeny | Sequencing | Hybridity | Genomic partitioning | Hybrid enrichment | Targeted amplicon sequencing | High-throughput sequencing | Model selection | Locus selection | Transcriptome sequencing | Anchored phylogenomics | RAD sequencing | Next-generation sequencing | Ultraconserved element enrichment | Phylogeny estimation | Target enrichment | Phylogenomics | EUKARYOTIC GENOMES | ULTRACONSERVED ELEMENTS | ENRICHMENT STRATEGIES | transcriptome sequencing | targeted amplicon sequencing | phylogenomics | ultraconserved element enrichment | phylogeny estimation | MAXIMUM-LIKELIHOOD | next-generation sequencing | POPULATION GENOMICS | hybrid enrichment | anchored phylogenomics | model selection | MULTIPLE SEQUENCE ALIGNMENTS | ESTIMATING SPECIES TREES | locus selection | GENE TREES | EVOLUTIONARY BIOLOGY | BAYESIAN PHYLOGENETICS | target enrichment | ECOLOGY | genomic partitioning | high-throughput sequencing | Research | Nucleotide sequencing | DNA sequencing
Journal Article
Molecular Phylogenetics and Evolution, ISSN 1055-7903, 2007, Volume 42, Issue 3, pp. 717 - 737
Caenogastropoda is the dominant group of marine gastropods in terms of species numbers, diversity of habit and habitat and ecological importance. This paper...
Multi-gene phylogeny | Ptenoglossa | Neogastropoda | Heteropoda | Cladistics | Maximum likelihood | Bayesian analysis | Architaenioglossa | Hypsogastropoda | CAMPANILE-SYMBOLICUM | cladistics | multi-gene phylogeny | BIOCHEMISTRY & MOLECULAR BIOLOGY | U2 SNRNA | MITOCHONDRIAL-DNA | INFERENCE | EVOLUTIONARY RATES | EVOLUTIONARY BIOLOGY | HISTONE H3 | SEQUENCE ALIGNMENT | maximum likelihood | GENETICS & HEREDITY | PARTIAL 28S RDNA | 18S RDNA | PROSOBRANCHIA | Likelihood Functions | Animals | RNA, Ribosomal, 18S - genetics | Snails - genetics | Bayes Theorem | RNA, Ribosomal, 16S - genetics | Electron Transport Complex IV - genetics | Phylogeny | Gastropoda - genetics | RNA, Ribosomal, 28S - genetics | Evolution, Molecular
Multi-gene phylogeny | Ptenoglossa | Neogastropoda | Heteropoda | Cladistics | Maximum likelihood | Bayesian analysis | Architaenioglossa | Hypsogastropoda | CAMPANILE-SYMBOLICUM | cladistics | multi-gene phylogeny | BIOCHEMISTRY & MOLECULAR BIOLOGY | U2 SNRNA | MITOCHONDRIAL-DNA | INFERENCE | EVOLUTIONARY RATES | EVOLUTIONARY BIOLOGY | HISTONE H3 | SEQUENCE ALIGNMENT | maximum likelihood | GENETICS & HEREDITY | PARTIAL 28S RDNA | 18S RDNA | PROSOBRANCHIA | Likelihood Functions | Animals | RNA, Ribosomal, 18S - genetics | Snails - genetics | Bayes Theorem | RNA, Ribosomal, 16S - genetics | Electron Transport Complex IV - genetics | Phylogeny | Gastropoda - genetics | RNA, Ribosomal, 28S - genetics | Evolution, Molecular
Journal Article