Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree

Tri Andriani; Mohammad Isa Irawan

doi:10.1063/1.4994467

Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree

Tri Andriani
, Mohammad Isa Irawan

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Ebola Virus Disease (EVD) is a disease caused by a virus of the genus Ebolavirus (EBOV), family Filoviridae. Ebola virus is classifed into five types, namely Zaire ebolavirus (ZEBOV), Sudan ebolavirus (SEBOV), Bundibugyo ebolavirus (BEBOV), Tai Forest ebolavirus also known as Cote d'Ivoire ebolavirus (CIEBOV), and Reston ebolavirus (REBOV). Identification of kinship types of Ebola virus can be performed using phylogenetic trees. In this study, the phylogenetic tree constructed by UPGMA method in which there are Multiple Alignment using Progressive Method. The results concluded that the phylogenetic tree formation kinship ebola virus types that kind of Tai Forest ebolavirus close to Bundibugyo ebolavirus but the layout state ebola epidemic spread far apart. The genetic distance for this type of Bundibugyo ebolavirus with Tai Forest ebolavirus is 0.3725. Type Tai Forest ebolavirus similar to Bundibugyo ebolavirus not inuenced by the proximity of the area ebola epidemic spread.

Original language	English
Title of host publication	International Conference on Mathematics - Pure, Applied and Computation
Subtitle of host publication	Empowering Engineering using Mathematics
Editors	Dieky Adzkiya
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735415478
DOIs	https://doi.org/10.1063/1.4994467
Publication status	Published - 1 Aug 2017
Event	2nd International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics, ICoMPAC 2016 - Surabaya, Indonesia Duration: 23 Nov 2016 → …

Publication series

Name	AIP Conference Proceedings
Volume	1867
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	2nd International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics, ICoMPAC 2016
Country/Territory	Indonesia
City	Surabaya
Period	23/11/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1063/1.4994467

Cite this

Andriani, T., & Irawan, M. I. (2017). Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree. In D. Adzkiya (Ed.), International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics Article 020064 (AIP Conference Proceedings; Vol. 1867). American Institute of Physics Inc.. https://doi.org/10.1063/1.4994467

Andriani, Tri ; Irawan, Mohammad Isa. / Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree. International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics. editor / Dieky Adzkiya. American Institute of Physics Inc., 2017. (AIP Conference Proceedings).

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title = "Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree",

abstract = "Ebola Virus Disease (EVD) is a disease caused by a virus of the genus Ebolavirus (EBOV), family Filoviridae. Ebola virus is classifed into five types, namely Zaire ebolavirus (ZEBOV), Sudan ebolavirus (SEBOV), Bundibugyo ebolavirus (BEBOV), Tai Forest ebolavirus also known as Cote d'Ivoire ebolavirus (CIEBOV), and Reston ebolavirus (REBOV). Identification of kinship types of Ebola virus can be performed using phylogenetic trees. In this study, the phylogenetic tree constructed by UPGMA method in which there are Multiple Alignment using Progressive Method. The results concluded that the phylogenetic tree formation kinship ebola virus types that kind of Tai Forest ebolavirus close to Bundibugyo ebolavirus but the layout state ebola epidemic spread far apart. The genetic distance for this type of Bundibugyo ebolavirus with Tai Forest ebolavirus is 0.3725. Type Tai Forest ebolavirus similar to Bundibugyo ebolavirus not inuenced by the proximity of the area ebola epidemic spread.",

author = "Tri Andriani and Irawan, \{Mohammad Isa\}",

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Andriani, T & Irawan, MI 2017, Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree. in D Adzkiya (ed.), International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics., 020064, AIP Conference Proceedings, vol. 1867, American Institute of Physics Inc., 2nd International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics, ICoMPAC 2016, Surabaya, Indonesia, 23/11/16. https://doi.org/10.1063/1.4994467

Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree. / Andriani, Tri; Irawan, Mohammad Isa.
International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics. ed. / Dieky Adzkiya. American Institute of Physics Inc., 2017. 020064 (AIP Conference Proceedings; Vol. 1867).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Irawan, Mohammad Isa

PY - 2017/8/1

Y1 - 2017/8/1

N2 - Ebola Virus Disease (EVD) is a disease caused by a virus of the genus Ebolavirus (EBOV), family Filoviridae. Ebola virus is classifed into five types, namely Zaire ebolavirus (ZEBOV), Sudan ebolavirus (SEBOV), Bundibugyo ebolavirus (BEBOV), Tai Forest ebolavirus also known as Cote d'Ivoire ebolavirus (CIEBOV), and Reston ebolavirus (REBOV). Identification of kinship types of Ebola virus can be performed using phylogenetic trees. In this study, the phylogenetic tree constructed by UPGMA method in which there are Multiple Alignment using Progressive Method. The results concluded that the phylogenetic tree formation kinship ebola virus types that kind of Tai Forest ebolavirus close to Bundibugyo ebolavirus but the layout state ebola epidemic spread far apart. The genetic distance for this type of Bundibugyo ebolavirus with Tai Forest ebolavirus is 0.3725. Type Tai Forest ebolavirus similar to Bundibugyo ebolavirus not inuenced by the proximity of the area ebola epidemic spread.

AB - Ebola Virus Disease (EVD) is a disease caused by a virus of the genus Ebolavirus (EBOV), family Filoviridae. Ebola virus is classifed into five types, namely Zaire ebolavirus (ZEBOV), Sudan ebolavirus (SEBOV), Bundibugyo ebolavirus (BEBOV), Tai Forest ebolavirus also known as Cote d'Ivoire ebolavirus (CIEBOV), and Reston ebolavirus (REBOV). Identification of kinship types of Ebola virus can be performed using phylogenetic trees. In this study, the phylogenetic tree constructed by UPGMA method in which there are Multiple Alignment using Progressive Method. The results concluded that the phylogenetic tree formation kinship ebola virus types that kind of Tai Forest ebolavirus close to Bundibugyo ebolavirus but the layout state ebola epidemic spread far apart. The genetic distance for this type of Bundibugyo ebolavirus with Tai Forest ebolavirus is 0.3725. Type Tai Forest ebolavirus similar to Bundibugyo ebolavirus not inuenced by the proximity of the area ebola epidemic spread.

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BT - International Conference on Mathematics - Pure, Applied and Computation

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Y2 - 23 November 2016

ER -

Andriani T, Irawan MI. Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree. In Adzkiya D, editor, International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics. American Institute of Physics Inc. 2017. 020064. (AIP Conference Proceedings). doi: 10.1063/1.4994467

Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree

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