Skip to main content
Ctrl+K
Single-cell best practices - Home Single-cell best practices - Home

Introduction

  • 1. Prior art
  • 2. Single-cell RNA sequencing
  • 3. Raw data processing
  • 4. Analysis frameworks and tools
  • 5. Interoperability

Preprocessing and visualization

  • 6. Quality Control
  • 7. Normalization
  • 8. Feature selection
  • 9. Dimensionality Reduction

Identifying cellular structure

  • 10. Clustering
  • 11. Annotation
  • 12. Data integration

Inferring trajectories

  • 13. Pseudotemporal ordering
  • 14. RNA velocity
  • 15. Lineage tracing

Dealing with conditions

  • 16. Differential gene expression analysis
  • 17. Compositional analysis
  • 18. Gene set enrichment and pathway analysis
  • 19. Perturbation modeling

Modeling mechanisms

  • 20. Gene regulatory networks
  • 21. Cell-cell communication

Deconvolution

  • 22. Bulk deconvolution

Chromatin Accessibility

  • 23. Single-cell ATAC sequencing
  • 24. Quality Control
  • 25. Gene regulatory networks using chromatin accessibility

Spatial omics

  • 26. Single-cell data resolved in space
  • 27. Neighborhood analysis
  • 28. Spatial domains
  • 29. Spatially variable genes
  • 30. Spatial deconvolution
  • 31. Imputation

Surface protein

  • 32. Quality control
  • 33. Normalization
  • 34. Doublet detection
  • 35. Dimensionality Reduction
  • 36. Batch correction
  • 37. Annotation

Adaptive immune receptor repertoire

  • 38. Immune Receptor Profiling
  • 39. Clonotype analysis
  • 43. Specificity analysis
  • 44. Integrating AIR and transcriptomics

Multimodal integration

  • 45. Paired integration
  • 46. Advanced integration

Reproducibility

  • 47. Reproducibility

Outlook

  • 48. Outlook

Acknowledgements

  • 49. Acknowledgements

Glossary

  • 50. Glossary
  • Repository
  • Open issue

Index

A | B | C | D | E | F | G | H | I | L | M | N | P | R | S | T | U

A

  • Adapter sequences
  • adapter sequences
  • Algorithm
  • Algorithms
  • AnnData
  • AnnDatas

B

  • BAM
  • BAM files
  • Bar code
  • Bar codes
  • Barcode
  • Barcodes
  • Batch effect
  • Benchmark
  • Bulk RNA sequencing

C

  • cDNA
  • Cell
  • Cell barcode
  • Cell state
  • Cell type
  • Cell type annotation
  • Chromatin
  • Cluster
  • Clusters
  • Complementary DNA (cDNA)

D

  • Demultiplexing
  • directed graph
  • DNA
  • Doublets
  • downstream analyses
  • Downstream analysis
  • Drop-seq
  • Dropout

E

  • Edit distance

F

  • FASTQ
  • FASTQ reads
  • Flowcell
  • flowcell

G

  • Gene expression matrix

H

  • Hamming distance

I

  • Imputation
  • Indrop

L

  • Library
  • Loci
  • loci
  • Locus

M

  • MuData
  • Muon
  • muon

N

  • Negative binomial distribution

P

  • PCR
  • Pipeline
  • Poisson distribution
  • Promoter
  • Pseudotime

R

  • RNA
  • RNA velocity
  • RT-qPCR

S

  • SAM
  • SAM files
  • scanpy
  • scverse
  • signal-to-noise ratio
  • Spike-in RNA
  • Splice Junctions
  • splice junctions

T

  • Trajectory inference

U

  • Unique Molecular Identifier (UMI)
  • unique molecular identifiers (UMIs)
  • Untranslated Region (UTR)
  • UTR

By Lukas Heumos, Anna Schaar, single-cell best practices consortium

© Copyright 2023.

Brought to you by Theislab, with many thanks to the single-cell community as a whole!