Phylogeny of Twenty-One Mammals
Phylogeny can be inferred using two sources of data from an organism: morphological data and molecular data. Historically, phylogenies were usually inferred using morphological characters, but some morphological features may not necessarily indicate shared heritage. With the introduction of molecular phylogenies, the base sequence of genes, or amino acid sequence of proteins can be compared to find the number of similarities or differences to ascertain levels of relatedness between species. These two types of phylogenies are to be taken as a data-driven hypothesis about the evolutionary history of the studied organisms, and a consensus is drawn from the comparison between the different phylogenies built from the two sources of data, utilizing different methods.
Code (0)
등록된 구현이 없습니다.
Methods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Phylogeny-informed fitness estimation
Phylogenies (ancestry trees) depict the evolutionary history of an evolving population. In evolutionary computing, a phylogeny can reveal how an evolutionary algorithm steers a population through a search space, illumina…
DiagnosticDiversityEvolutionary AlgorithmsRuntime phylogenetic analysis enables extreme subsampling for test-based problems
A phylogeny describes the evolutionary history of an evolving population. Evolutionary search algorithms can perfectly track the ancestry of candidate solutions, illuminating a population's trajectory through the search …
DiagnosticProgram SynthesisNo substitute for real data: phylogenies from birth-death polytomy resolvers should not be used for many downstream comparative analyses
The statistical estimation of phylogenies is always associated with uncertainty, and accommodating this uncertainty is an important component of modern phylogenetic comparative analysis. The birth-death polytomy resolver…
Correlations from structure and phylogeny combine constructively in the inference of protein partners from sequences
Inferring protein-protein interactions from sequences is an important task in computational biology. Recent methods based on Direct Coupling Analysis (DCA) or Mutual Information (MI) allow to find interaction partners am…
Joint identifiability of ancestral sequence, phylogeny and mutation rates under the TKF91 model
We consider the problem of identifying jointly the ancestral sequence, the phylogeny and the parameters in models of DNA sequence evolution with insertion and deletion (indel). Under the classical TKF91 model of sequence…