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- W2912852921 endingPage "6.3.23" @default.
- W2912852921 startingPage "6.3.1" @default.
- W2912852921 abstract "This unit provides instructions on how to construct a phylogenetic tree with several distance-based methods. Neighbor Joining (NJ) and other distance-based approaches (e.g., BIONJ, WEIGHBOR and FITCH) are fast methods for building phylogenetic trees. This makes them particularly effective for large-scale studies or for bootstrap applications, which require runs on multiple data sets. Like maximum-likelihood methods, distance methods are based on a sequence evolution model that is used to estimate the distance matrix. Computer simulations indicate that the topological accuracy of BIONJ, WEIGHBOR and FITCH is significantly better than that of NJ, and that the best distance-based methods are equivalent to parsimony in most cases." @default.
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- W2912852921 date "2002-11-15" @default.
- W2912852921 modified "2023-09-25" @default.
- W2912852921 title "Getting a Tree Fast: Neighbor Joining and Distance-Based Methods" @default.
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- W2912852921 doi "https://doi.org/10.1002/0471250953.bi0603s01" @default.
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