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A comparative study of SVDquartets and other coalescent-based species tree estimation methods
Jed Chou
, Ashu Gupta
, Shashank Yaduvanshi
, Ruth Davidson
, Mike Nute
, Siavash Mirarab
,
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
Research output
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peer-review
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Keyphrases
Estimation Method
100%
Coalescent
100%
Species Tree Estimation
100%
Incomplete Lineage Sorting
100%
SVDquartets
100%
Gene Tree
44%
Species Tree
33%
Coalescent-based Methods
33%
Summary Method
33%
Number of Sites
22%
NJst
22%
Quartet Trees
22%
Recombination
11%
Maximum Likelihood
11%
Relative Accuracy
11%
Simulated Dataset
11%
Estimation Error
11%
Vulnerability
11%
Multilocus Approach
11%
Gene Sequencing
11%
Unlinked
11%
DNA Sequence Alignment
11%
Four Species
11%
All-subsets
11%
Free Locus
11%
Quartet Amalgamation
11%
Biochemistry, Genetics and Molecular Biology
Gene Sequence
100%
Taxon
50%
Sequence Alignment
50%
Heuristics
50%
Agricultural and Biological Sciences
Lineages
100%
Sequence Alignment
11%