Clustering, annotation and trajectory interference tools for scRNA-seq data: A quick guide

Useful  tutorials and studies:

  1. Decoding human fetal liver haematopoiesis  – scRNA-seq study on fetal liver
  2. Developmental cell programs are co-opted in inflammatory skin disease  – scRNA-seq study on human skin
  3. Prenatal development of human immunity – review on developmental immunity
  4. A cell atlas of human thymic development defines T cell repertoire formation – scRNA-seq study on thymus
  5. Scanpy tutorial – for analysis of scRNA-seq data using Scanpy package in Python
  6. Seurat tutorial – for analysis of scRNA-seq data using Seurat package in R
  7. Automated methods for cell type annotation on scRNA-seq data – paper describing automated annotation techniques
  8. Diffusion maps for high-dimensional single-cell analysis of differentiation data – paper on diffusion map technique
  9. Computational approaches for interpreting scRNA‐seq data – a paper showing scRNA-seq analysis workflow, including different trajectory inference techniques