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原文連結
論文資訊
- 類型：已發表論文
- 日期：2020-01-31
摘要
The number of genes belonging to a multi-gene family usually varies substantially over their 演化ary history as a consequence of gene duplications and losses. A first step toward analyzing these histories in detail is the inference of the changes in copy number that take place along the individual edges of the underlying 系統發育 tree. The corresponding maximum parsimony minimizes the total number of changes along the edges of the 物種 tree. Incorrectly determined numbers of family members however may influence the estimates drastically. We therefore augment the analysis by introducing a probabilistic model that also considers suboptimal assignments of changes. Technically, this amounts to a partition function variant of Sankoff's parsimony algorithm. As a showcase application, we reanalyze the ga
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