COURSE METERIAL

Molecular Phenomics: Experimental Principles and Data Analysis (BIOL60001)

Reading material

Main single-cell RNA-seq technologies
  • Smart-seq2 for sensitive full-length transcriptome profiling in single cells (Nature Methods, 2013) >>>Download
  • Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocol, 2014) >>>Download
  • Cell-Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells (Cell, 2015) >>>Download
  • Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets (Cell, 2015) >>>Download
  • Comprehensive single-cell transcriptional profiling of a multicellular organism (Science, 2017) >>>Download
  • Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells (Nature Biotechnology, 2021) >>>Download
  • Optimized single-nucleus transcriptional profiling by combinatorial indexing (Nature Protocol, 2022) >>>Download

Practice material

Seurat (R language) for 10X Genomics scRNA-seq