COMBINING TREES AS A WAY OF COMBINING DATA SETS FOR PHYLOGENETIC INFERENCE, AND THE DESIRABILITY OF COMBINING GENE TREES
COMBINING TREES AS A WAY OF COMBINING DATA SETS FOR PHYLOGENETIC INFERENCE, AND THE DESIRABILITY OF COMBINING GENE TREES
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作者：
BAUM, BR
从不同种类的数据集，类似于布鲁克斯的技术，但出于不同的目的，与这些数据集相结合的树木相结合的过程中，详细沿着与5个未重复的组合，从共15个已公布的数据集的例子。该过程不邻接原始数据集，而是将树的二进制编码因子组合在一起，每个树来自不同的数据集。这允许将仅作为成对距离可用的数据与直接从生物体的特征获得的数据相结合。它节省了对组合的核苷酸序列数据的分析，所述组合的核苷酸序列数据可能非常大，并且保留了组合中每种数据的信息。该程序也允许缺失数据，并且可以被视为一种新的共识方法-数学特性尚未被研究。结合基因树的可取性，从分子数据中获得，使物种树的推断进行了讨论，在使用这个过程。
A procedure of combining trees obtained from data sets of different kinds, similar to Brooks's technique but for a different purpose, with the aim of combining these data sets, is detailed along with examples used in five unrepeated combinations from a total of 15 published datasets. The procedure does not adjoin raw data sets, but instead combines the binary-coded factors of the trees, each tree from a different data set, together. This allows the combining of data that are only available as pair-wise distances with data obtained directly from characters of the organisms. It economizes the analysis of combined nucleotide sequence data which can be very large, and preserves information for each kind of data in the combination. The procedure allows for missing data as well, and can be regarded as a new consensus method - mathematical properties have yet to be investigated. The desirability of combining gene trees, obtained from molecular data, to enable the inference of species trees is discussed in light of using this procedure.