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原文連結
論文資訊
- 類型：已發表論文
- 日期：2008
摘要
Motivation: Sequence-based methods for 系統發育 reconstruction from (nucleic acid) sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Large 演化ary distances imply a large number of homoplastic sites. As most 蛋白質-coding genes show dramatic variations in substitution rates that are not uncorrelated across the sequence, this often leads to a patchwork pattern of (i) 系統發育ally informative and (ii) effectively randomized regions. In highly variable regions, furthermore, alignment errors accumulate resulting in sometimes misleading signals in 系統發育 reconstruction. Results: We present here a method that, based on assessing the distribution of character states along a cyclic ordering of the taxa, allows the identification of 系統發育ally uninformative homoplastic sites in
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