The performance of the computer program for phyloge netic analysis, POY, and its two implemented methods, “optimization alignment” and “fixed-states optimization,” are explored for four data sets. Four gap costs are analyzed for every partition; some of the partitions (the 18S rRNA) are treated as a single fragment or in increasing fragments of 3, 10, and 30. Comparisons within and among methods are undertaken according to gap cost, number of fragments in which the sequences are divided, tree length, character congruence, topological congruence, primary homology statements, and computation time.

中文翻译：

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探索 POY 的行为，一个直接优化分子数据的程序

针对四个数据集探索了用于系统发育分析的计算机程序 POY 及其两种实施方法“优化对齐”和“固定状态优化”的性能。为每个分区分析四个间隙成本；一些分区（18S rRNA）被视为单个片段或以 3、10 和 30 递增的片段处理。根据间隙成本、序列被划分的片段数量、树进行方法内部和之间的比较长度、字符同余、拓扑同余、主要同源语句和计算时间。