Linking genome and exposome: Computational analysis of human variation in chemical-target interactions

Liana Bruggemann, Chris Hawthorne, Ram Samudrala, Guillermo Lopez Campos*

*Corresponding author for this work

Research output: Contribution to conferencePosterpeer-review

Abstract

The growing amount of available public data repositories containing a plethora of rich chemical and biomedical information is enabling new in silico research avenues. In this project we aim to link human genome variations and the exposome applying in silico biomedical informatics approaches to analyse the potential effects of those variants in the interactions with different chemicals.
Original languageEnglish
Pages1331
Number of pages1332
DOIs
Publication statusPublished - 2020
Event30th Medical Informatics Europe conference (MIE2020): MIE 2020 - Digital Perosnalized Health - Geneva, Switzerland
Duration: 28 Apr 202001 May 2020
Conference number: 30
https://mie2020.org/en/

Conference

Conference30th Medical Informatics Europe conference (MIE2020)
Abbreviated titleMIE
CountrySwitzerland
CityGeneva
Period28/04/202001/05/2020
Internet address

Keywords

  • Translational Bioinformatics
  • protein modelling
  • Exposome
  • single nucleotide polymorphism
  • Toxicogenomics

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