Novel computational approach for identification of highly mutated integrated HIV genomes

Kamil Khanipov; Levent Albayrak; George Golovko; Maria Pimenova; Pavlidis Ioannis; Yuriy Fofanov; I. Pavlidis

doi:10.1109/BIBE.2017.00-47

Novel computational approach for identification of highly mutated integrated HIV genomes

Kamil Khanipov, Levent Albayrak, George Golovko, Maria Pimenova, Pavlidis Ioannis, Yuriy Fofanov, I. Pavlidis

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

Abstract

More than 70 million people have been infected with the human immunodeficiency virus (HIV). There is no cure for HIV and modern treatment is only effective at delaying the onset of acquired immunodeficiency syndrome. Incorporated HIV serves as a reservoir for constant release of virions. Knowing the locations and quantity of HIV in the reservoirs can help guide development of complete treatment. Patient/Organ-specific HIV genome reconstruction allows to significantly improve detection of sequences originating from HIV. In this paper, we present a novel personalized medicine approach based on the reconstruction of patient/organ-specific HIV genome sequences in latent reservoirs.

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	246-248
Number of pages	3
ISBN (Electronic)	9781538613245
DOIs	https://doi.org/10.1109/BIBE.2017.00-47
State	Published - Jul 1 2017
Externally published	Yes
Event	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States Duration: Oct 23 2017 → Oct 25 2017

Publication series

Name	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Volume	2018-January

Other

Other	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
Country/Territory	United States
City	Herndon
Period	10/23/17 → 10/25/17

Keywords

HIV
Human immunodeficiency virus
Integrated genome reconstruction
Viral genome reconstruction

ASJC Scopus subject areas

Signal Processing
Information Systems
Biomedical Engineering
Modeling and Simulation
Health Informatics

Access to Document

10.1109/BIBE.2017.00-47

Cite this

Khanipov, K., Albayrak, L., Golovko, G., Pimenova, M., Ioannis, P., Fofanov, Y., & Pavlidis, I. (2017). Novel computational approach for identification of highly mutated integrated HIV genomes. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017 (pp. 246-248). (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2017.00-47

Novel computational approach for identification of highly mutated integrated HIV genomes. / Khanipov, Kamil; Albayrak, Levent; Golovko, George et al.
Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 246-248 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January).

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

Khanipov, K, Albayrak, L, Golovko, G, Pimenova, M, Ioannis, P, Fofanov, Y & Pavlidis, I 2017, Novel computational approach for identification of highly mutated integrated HIV genomes. in Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 246-248, 17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017, Herndon, United States, 10/23/17. https://doi.org/10.1109/BIBE.2017.00-47

Khanipov K, Albayrak L, Golovko G, Pimenova M, Ioannis P, Fofanov Y et al. Novel computational approach for identification of highly mutated integrated HIV genomes. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 246-248. (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017). doi: 10.1109/BIBE.2017.00-47

Khanipov, Kamil ; Albayrak, Levent ; Golovko, George et al. / Novel computational approach for identification of highly mutated integrated HIV genomes. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 246-248 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017).

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AU - Fofanov, Yuriy

AU - Pavlidis, I.

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AB - More than 70 million people have been infected with the human immunodeficiency virus (HIV). There is no cure for HIV and modern treatment is only effective at delaying the onset of acquired immunodeficiency syndrome. Incorporated HIV serves as a reservoir for constant release of virions. Knowing the locations and quantity of HIV in the reservoirs can help guide development of complete treatment. Patient/Organ-specific HIV genome reconstruction allows to significantly improve detection of sequences originating from HIV. In this paper, we present a novel personalized medicine approach based on the reconstruction of patient/organ-specific HIV genome sequences in latent reservoirs.

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Novel computational approach for identification of highly mutated integrated HIV genomes

Abstract

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Keywords

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