Dissemin is shutting down on January 1st, 2025

Published in

Asian Network for Scientific Information (ANSINET), Biotechnology, p. 744-787, 2019

DOI: 10.4018/978-1-5225-8903-7.ch030

Advances in Bioinformatics and Biomedical Engineering, p. 145-187

DOI: 10.4018/978-1-5225-2607-0.ch007

Advances in Bioinformatics and Biomedical Engineering, p. 115-144

DOI: 10.4018/978-1-5225-2607-0.ch006

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Informatics and Data Analytics to Support Exposome-Based Discovery

This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

This chapter aims at outlining the current state of science in the field of computational exposure biology and in particular at demonstrating how the bioinformatics techniques and algorithms can be used to support the association between environmental exposures and human health and the deciphering of the molecular and metabolic pathways of induced toxicity related to environmental chemical stressors. Examples of the integrated bioinformatics analyses outlined herein are given concerning exposure to airborne chemical mixtures, to organic compounds frequently found in consumer goods, and to mixtures of organic chemicals and metals through multiple exposure pathways. Advanced bioinformatics are coupled with big data analytics to perform studies of exposome-wide associations with putative adverse health outcomes. In conclusion, the chapter gives the reader an outline of the available computational tools and paves the way towards the development of future comprehensive applications that are expected to support efficiently exposome research in the 21st century.