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SINGEK training network : Promoting SINgle cell GEnomics to explore the ecology and evolution of hidden microeuKaryotes

Authors: Massana, Ramon; Bertilsson, Stefan; López-García, Purificación; Rengefors, Karin; Vandepoele, Klaas; Lucas, Gavin; Lafzi, Atefeh; +2 Authors

SINGEK training network : Promoting SINgle cell GEnomics to explore the ecology and evolution of hidden microeuKaryotes

Abstract

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

This project has received funding from the European Union’s horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No 675752

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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