PhyloMCL: Accurate clustering of hierarchical orthogroups guided by phylogenetic relationship and inference of polyploidy events
PhyloMCL: Accurate clustering of hierarchical orthogroups guided by phylogenetic relationship and inference of polyploidy events
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PhyloMCL:由系统发育关系和多倍体事件推断指导的分层直系群的准确聚类
DOI:
10.1111/2041-210x.13401
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发表时间:
2020-06
影响因子:
6.6
通讯作者:
Qi Ji
中科院分区:
文献类型:
--
作者:
Zhou Shengyu;Chen Yamao;Guo Chunce;Qi Ji
Identification of homology relationships is essential for inferring gene functions, detecting phylogeny of gene families, discovering evolutionary history of life, and usually, is the first step of many genetic and genomic studies. However, the presence of gene duplicates, variation on evolutionary rates of homologs, fusion and fission of genes, can lead to misidentification of evolutionary relationships among homologs. Here we provide a Markov clustering based method called PhyloMCL to accurately detect hierarchical orthogroups (HOGs) including orthologs and paralogs, which derived from duplications subsequent to speciation of involved species, by considering both phylogenetic relationship of organisms and effects of polyploidy events. Its performance, evaluated by a list of benchmark gene families, when applying to the clustering of HOGs from 12 Metazoan genomes, reaches up to 87.8% and 83.2% on recall and precision rates respectively. Further application of PhyloMCL on classification of tens of thousands of paralogs, yielded by multiple polyploidy events during evolution of seed plants, successfully identifies the majority of in‐/out‐paralogs at different taxonomic levels. Benefiting from the strategy of Markov clustering and guidance of species tree, PhyloMCL can accurately classify millions of homologous genes with affordable time, meeting the challenge of phylogenomic studies upon rapid increasing of sequenced genomes.
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影响因子:
30.8
作者:
Ming R;VanBuren R;Wai CM;Tang H;Schatz MC;Bowers JE;Lyons E;Wang ML;Chen J;Biggers E;Zhang J;Huang L;Zhang L;Miao W;Zhang J;Ye Z;Miao C;Lin Z;Wang H;Zhou H;Yim WC;Priest HD;Zheng C;Woodhouse M;Edger PP;Guyot R;Guo HB;Guo H;Zheng G;Singh R;Sharma A;Min X;Zheng Y;Lee H;Gurtowski J;Sedlazeck FJ;Harkess A;McKain MR;Liao Z;Fang J;Liu J;Zhang X;Zhang Q;Hu W;Qin Y;Wang K;Chen LY;Shirley N;Lin YR;Liu LY;Hernandez AG;Wright CL;Bulone V;Tuskan GA;Heath K;Zee F;Moore PH;Sunkar R;Leebens-Mack JH;Mockler T;Bennetzen JL;Freeling M;Sankoff D;Paterson AH;Zhu X;Yang X;Smith JA;Cushman JC;Paull RE;Yu Q
通讯作者:
Yu Q
影响因子:
14.9
作者:
Jin J;Tian F;Yang DC;Meng YQ;Kong L;Luo J;Gao G
通讯作者:
Gao G
DOI:
10.1073/pnas.152330799
发表时间:
2002-07
影响因子:
11.1
作者:
Yanhai Yin;Dongying Wu;J. Chory
通讯作者:
Yanhai Yin;Dongying Wu;J. Chory
DOI:
10.1073/pnas.0908007107
发表时间:
2010-01-05
影响因子:
11.1
作者:
Tang, Haibao;Bowers, John E.;Paterson, Andrew H.
通讯作者:
Paterson, Andrew H.
影响因子:
64.8
作者:
Jaillon, Olivier;Aury, Jean-Marc;Wincker, Patrick
通讯作者:
Wincker, Patrick