Discussion Meeting Issue

organized and edited by
Thomas A. Richards, Ramon Massana & Neil Hall

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An H2020 Innovative Training Network
coordinated at ICM in Barcelona


EU-funded PhD training program

A new generation of scientists trained in
Single Cell Genomics to investigate
microeukaryotes’ diversity


Eukaryotic Tree of Life

The vast majority of eukaryotic diversity
is microbial and still uncultured

Photo: Sébastien Colin/OCEANOMICS - EPEP/SBR/CNRS

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for Microbial Ecology & Evolution

An emerging technology to retrieve genomic
information from individual uncultured

Photo: Centre Nacional d’Anàlisi Genòmica, CNAG



Genomic data is pivotal for understanding
the cellular function, evolutionary diversity
and ecological performance of all living organisms

Photo: Vandepoele et al. 2013, PLAZA bioinformatics platform


Promoting SINgle cell GEnomics to explore the ecology and evolution of hidden microeuKaryotes

Single cell genomics (SCG), including single cell transcriptomics, is an emerging technology that has the potential to retrieve genomic information from individual uncultured microbes recovered directly from natural environments and promises to provide new tools to investigate microeukaryotes in unparalleled detail.

SINGEK is an EU H2020 Marie Skłodowska-Curie Innovative Training Network devised to provide a unique and structured PhD training programme to a new generation of scientists with the highest expertise in Single Cell Genomics, from the initial stages of cell sorting to genome sequencing and gene annotation, to the full exploitation of the data obtained. The network is composed of a multidisciplinary team of researchers from nine institutions, well connected and with high expertise in eukaryotic SCG. SINGEK will drive training through research by both local and network-wide activities, secondments, and workshops, and by establishing an environment that extends far beyond each partner team.

SINGEK H2020 MSCA-ITN-2015-ETN 675752
EU Contribution: 3.889.393,2 €
Duration: January 1st 2016 – May 31st 2020

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