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A comprehensive RNA handling and transcriptomics guide for high-throughput processing of Plasmodium blood-stage samples.

Michal KucharskiJaishree TripathiSourav NayakLei ZhuGrennady WirjanataRob W van der PluijmMehul DhordaArjen DondorpZbynek Bozdech
Published in: Malaria journal (2020)
Overall, the presented methodology is an inclusive pipeline for generation of good quality transcriptomic data from a diverse range of Plasmodium-infected blood samples with varying parasitaemia and RNA inputs. The flexibility of this pipeline to be adapted to robotic handling will facilitate both small and large-scale future transcriptomic studies in the field of malaria.
Keyphrases
  • single cell
  • plasmodium falciparum
  • high throughput
  • rna seq
  • minimally invasive
  • nucleic acid
  • big data
  • quality improvement
  • deep learning
  • case control