GRAHAM | Concepts of Graph Theory Applied to the Human Microbiome

Summary
"Incidents of cancer, respiratory, and circulatory disease are the highest causes of death among members of the European Union (EU). Elements of these diseases have been linked to the human microbiota, the complex ecosystem of microorganisms which live on and in the human body. Understanding the disruptions to the human microbiota which cause disease is important in furthering our knowledge of these diseases. Although advances in sequencing technology have allowed the exploration of ""who"" is present in these communities, we still do not have a proper understanding of ""what"" is present in terms of genetic elements (genomes, operons, genes, and single nucleotide polymorphisms (SNPs)) due to a lack of computaional tools. In GRAHAM, I propose to apply network analysis to the study of disruptions to the human microbiota in order to develop tools and answer questions related to human health and disease.
Under this research programme, I will model interactions between genetic elements in publicly available metagenomic datasets of the human microbiota using networks. My background in metagenomic sequencing technologies will be combined with the excellence of a research environment and supervisor rich in experience with applications of network analyses. Deliverables will include open-source software packages, and results of this research will be disseminated via publications, conferences, workshops, and public seminars."
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/793818
Start date: 01-11-2018
End date: 01-12-2020
Total budget - Public funding: 195 454,80 Euro - 195 454,00 Euro
Cordis data

Original description

"Incidents of cancer, respiratory, and circulatory disease are the highest causes of death among members of the European Union (EU). Elements of these diseases have been linked to the human microbiota, the complex ecosystem of microorganisms which live on and in the human body. Understanding the disruptions to the human microbiota which cause disease is important in furthering our knowledge of these diseases. Although advances in sequencing technology have allowed the exploration of ""who"" is present in these communities, we still do not have a proper understanding of ""what"" is present in terms of genetic elements (genomes, operons, genes, and single nucleotide polymorphisms (SNPs)) due to a lack of computaional tools. In GRAHAM, I propose to apply network analysis to the study of disruptions to the human microbiota in order to develop tools and answer questions related to human health and disease.
Under this research programme, I will model interactions between genetic elements in publicly available metagenomic datasets of the human microbiota using networks. My background in metagenomic sequencing technologies will be combined with the excellence of a research environment and supervisor rich in experience with applications of network analyses. Deliverables will include open-source software packages, and results of this research will be disseminated via publications, conferences, workshops, and public seminars."

Status

CLOSED

Call topic

MSCA-IF-2017

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2017
MSCA-IF-2017