Molecular Evolution and Phylogenetics
By Masatoshi Nei, Sudhir Kumar. 2000
3,109 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/82e12e48e4f1522dcee5c8c0334a7bae7d418c32
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Citations in the corpus
- MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment (2004, methodology): “using the average pathway method for unrooted trees.(2,64,65) In the current version, MEGA automatically concatenates all selected”
- The Gene Transformer of Anastrepha Fruit Flies (Diptera, Tephritidae) and Its Evolution in Insects (2007, background): “This approach is known to give good results, especially for distantly related taxa [64].”
- Biological identifications of mayflies (Ephemeroptera) using DNA barcodes (2005, background): “The K2P model provides the best metric when genetic distances are low (Nei and Kumar 2000).”
- Splitting pairs: the diverging fates of duplicated genes (2002, background): “These relative rates can be used to determine whether aligned regions of closely related genes are diverging or are under purifying selection to maintain functional similarity in both gene”
- Molecular phylogeny, systematics and morphological character evolution in the Balkan rissooidea (Caenogastropoda) (2009, background): “Maximum likelihood is not sensitive to some violation of its as- sumptions (SWOFFORD et al. 1996), but may show a tendency towards finding wrong reconstructions, especially where one deals with many taxa and short sequences (NEI et al. 1998, NEI & KUMAR 2000).”
- Temporal patterns of fruit fly (Drosophila) evolution revealed by mutation clocks. (2003, methodology): “Therefore, we conducted the relative rate tests (Beverley and Wilson 1984; Wu and Li 1985; Nei and Kumar 2000) of the mutational clock at different levels of evolutionary relatedness.”
- DNA barcoding is a useful tool for the identification of marine fishes from Japan (2011, methodology): “Measuring Genetic differentiation was based on Kimura two parameter (K2P) distance, a suitable metric model when genetic distances are low (Nei and Kumar, 2000).”