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Phylogeny Estimation Given Sequence Length Heterogeneity
Vladimir Smirnov,
Tandy Warnow
Bioengineering
Mathematics
Statistics
Coordinated Science Lab
National Center for Supercomputing Applications (NCSA)
Carl R. Woese Institute for Genomic Biology
Unit for Criticism and Interpretive Theory
Office of the Vice Chancellor for Research and Innovation
Entomology
Evolution, Ecology, and Behavior
Siebel School of Computing and Data Science
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Keyphrases
Phylogeny Estimation
100%
Sequence Length
100%
Phylogenetic Position
66%
Full-length Sequence
66%
Evolutionary Rate
66%
Sequencing Technology
66%
Biological Datasets
33%
Phylogenetic Classification
33%
RAxML
33%
Biological Studies
33%
Simulated Dataset
33%
Biologists
33%
Placement Method
33%
Performance Difference
33%
Method Development
33%
Maximum Likelihood Tree
33%
Analytical pipeline
33%
Futures Methods
33%
Computer Science
Sequence Length
100%
Large Data Set
50%
maximum-likelihood
25%
Performance Difference
25%
Sample Collection
25%
Biochemistry, Genetics and Molecular Biology
Tree
100%
Phylogeny
50%
Agricultural and Biological Sciences
Cladistics
100%
Biologists
16%
Neuroscience
Phylogenetics
100%
Mathematics
Maximum Likelihood
100%