Illuminating Earth’s microbial diversity and origins from metagenomes with deep learning

Project description

Expanding our knowledge on Earth’s microbial diversity

Microbes are very small living things that cannot be seen with the naked eye. They are found all around us and play a crucial role in maintaining the balance of nutrients and waste products in the biosphere. Moreover, they are important for the preservation of the natural environment by regulating biogeochemical cycles. The EU-funded ERMADA project aims to analyse and elucidate Earth’s microbial diversity using bioinformatics and machine learning algorithms. Specifically, it will shed light on the composition and structure of the microbiome at different rank levels and lineages and provide a complete record of the planet’s present microbial diversity footprint.

Fields of science

• natural sciences › computer and information sciences › data science › big data
• natural sciences › physical sciences › astronomy › planetary sciences › planets
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning
• natural sciences › biological sciences › microbiology
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2018 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2018

See other projects for this call

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

BIOMEDICAL SCIENCES RESEARCH CENTER ALEXANDER FLEMING

Net EU contribution

€ 247 628,16

Address

Fleming Street 34
16672 Vari-athens
Greece

Region

Ανατολική Αττική › Aττική › Αττική

Activity type

Research Organisations

Links

Other funding

€ 0,00