A novel methodology for large-scale phylogeny partition.
A novel methodology for large-scale phylogeny partition.
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DOI:
10.1038/ncomms1325
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发表时间:
2011
影响因子:
16.6
通讯作者:
ARCA collaborative group
中科院分区:
文献类型:
--
作者:
Prosperi MC;Ciccozzi M;Fanti I;Saladini F;Pecorari M;Borghi V;Di Giambenedetto S;Bruzzone B;Capetti A;Vivarelli A;Rusconi S;Re MC;Gismondo MR;Sighinolfi L;Gray RR;Salemi M;Zazzi M;De Luca A;ARCA collaborative group
Phylogenetic analysis is used to identify transmission chains, but no software is available for the automated partition of large phylogenies. Prosperiet al. apply a new search algorithm to identify transmission clusters within the phylogeny of HIV-1gene sequences linking molecular and epidemiological data. The online version of this article (doi:10.1038/ncomms1325) contains supplementary material, which is available to authorized users. Understanding the determinants of virus transmission is a fundamental step for effective design of screening and intervention strategies to control viral epidemics. Phylogenetic analysis can be a valid approach for the identification of transmission chains, and very-large data sets can be analysed through parallel computation. Here we propose and validate a new methodology for the partition of large-scale phylogenies and the inference of transmission clusters. This approach, on the basis of a depth-first search algorithm, conjugates the evaluation of node reliability, tree topology and patristic distance analysis. The method has been applied to identify transmission clusters of a phylogeny of 11,541 human immunodeficiency virus-1 subtype B pol gene sequences from a large Italian cohort. Molecular transmission chains were characterized by means of different clinical/demographic factors, such as the interaction between male homosexuals and male heterosexuals. Our method takes an advantage of a flexible notion of transmission cluster and can become a general framework to analyse other epidemics. The online version of this article (doi:10.1038/ncomms1325) contains supplementary material, which is available to authorized users.
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影响因子:
3.8
作者:
Gray, Rebecca R.;Tatem, Andrew J.;Salemi, Marco
通讯作者:
Salemi, Marco
DOI:
10.1097/qad.0b013e3283121c90
发表时间:
2008-11-30
期刊:
AIDS (London, England)
影响因子:
--
作者:
Brenner BG;Roger M;Moisi DD;Oliveira M;Hardy I;Turgel R;Charest H;Routy JP;Wainberg MA;Montreal PHI Cohort and HIV Prevention Study Groups
通讯作者:
Montreal PHI Cohort and HIV Prevention Study Groups
影响因子:
5.8
作者:
Li, KB
通讯作者:
Li, KB
DOI:
10.1084/jem.20082831
发表时间:
2009-05-11
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Keele BF;Li H;Learn GH;Hraber P;Giorgi EE;Grayson T;Sun C;Chen Y;Yeh WW;Letvin NL;Mascola JR;Nabel GJ;Haynes BF;Bhattacharya T;Perelson AS;Korber BT;Hahn BH;Shaw GM
通讯作者:
Shaw GM
DOI:
10.1097/qad.0b013e328340fdaf
发表时间:
2011-01-14
期刊:
AIDS (London, England)
影响因子:
--
作者:
Gray RR;Salemi M;Lowe A;Nakamura KJ;Decker WD;Sinkala M;Kankasa C;Mulligan CJ;Thea DM;Kuhn L;Aldrovandi G;Goodenow MM
通讯作者:
Goodenow MM