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Complete Characterization of Incorrect Orthology Assignments in Best Match Graphs
Journal of Mathematical Biology ( IF 2.2 ) Pub Date : 2021-02-19 , DOI: 10.1007/s00285-021-01564-8
David Schaller 1, 2 , Manuela Geiß 3 , Peter F Stadler 1, 4, 5, 6, 7 , Marc Hellmuth 8
Affiliation  

Genome-scale orthology assignments are usually based on reciprocal best matches. In the absence of horizontal gene transfer (HGT), every pair of orthologs forms a reciprocal best match. Incorrect orthology assignments therefore are always false positives in the reciprocal best match graph. We consider duplication/loss scenarios and characterize unambiguous false-positive (u-fp) orthology assignments, that is, edges in the best match graphs (BMGs) that cannot correspond to orthologs for any gene tree that explains the BMG. Moreover, we provide a polynomial-time algorithm to identify all u-fp orthology assignments in a BMG. Simulations show that at least \(75\%\) of all incorrect orthology assignments can be detected in this manner. All results rely only on the structure of the BMGs and not on any a priori knowledge about underlying gene or species trees.



中文翻译:


最佳匹配图中错误直系分配的完整表征



基因组规模的直系同源分配通常基于相互的最佳匹配。在没有水平基因转移(HGT)的情况下,每对直系同源物形成相互的最佳匹配。因此,不正确的直系同源分配在倒数最佳匹配图中始终是误报。我们考虑重复/丢失场景,并描述明确的假阳性( u-fp )直系同源分配,即最佳匹配图(BMG)中的边不能对应于解释 BMG 的任何基因树的直向同源物。此外,我们提供了一种多项式时间算法来识别 BMG 中的所有u-fp直系同源分配。模拟表明,至少\(75\%\)的所有不正确的同源分配可以通过这种方式被检测到。所有结果仅依赖于 BMG 的结构,而不依赖于任何有关潜在基因或物种树的先验知识。

更新日期:2021-02-19
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