标题： 从序列数据构建基因树和物种树，包括同源基因、旁系同源基因和异源基因 显示英文标题

标题： Construction of Gene and Species Trees from Sequence Data incl. Orthologs, Paralogs, and Xenologs

摘要： 系统发生重建旨在根据基因组序列信息找到基因或物种进化历史的合理假设。 直系同源基因（具有共同祖先并在物种分化后分离的基因）的区分至关重要，是许多基因组研究的核心。 然而，仅依赖1:1直系同源基因来推断物种树的方法受到限制，只能使用一小部分提供物种树信息的基因。 使用包含额外非直系同源基因（例如所谓的旁系同源或水平同源基因）的更大基因集，可以显著增加关于相应物种进化历史的信息。 在本工作中，我们介绍了一种新方法，基于包括直系同源、旁系同源甚至水平同源的序列数据计算物种系统发生树。 显示英文摘要

摘要： Phylogenetic reconstruction aims at finding plausible hypotheses of the evolutionary history of genes or species based on genomic sequence information. The distinction of orthologous genes (genes that having a common ancestry and diverged after a speciation) is crucial and lies at the heart of many genomic studies. However, existing methods that rely only on 1:1 orthologs to infer species trees are strongly restricted to a small set of allowed genes that provide information about the species tree. The use of larger gene sets that consist in addition of non-orthologous genes (e.g. so-called paralogous or xenologous genes) considerably increases the information about the evolutionary history of the respective species. In this work, we introduce a novel method to compute species phylogenies based on sequence data including orthologs, paralogs or even xenologs.