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Assessment of computational methods for the analysis of single-cell ATAC-seq data.

Huidong ChenCaleb LareauTommaso AndreaniMichael E VinyardSara P GarciaKendell ClementMiguel A Andrade-NavarroJason D BuenrostroLuca Pinello
Published in: Genome biology (2019)
This reference summary of scATAC-seq methods offers recommendations for best practices with consideration for both the non-expert user and the methods developer. Despite variation across methods and datasets, SnapATAC, Cusanovich2018, and cisTopic outperform other methods in separating cell populations of different coverages and noise levels in both synthetic and real datasets. Notably, SnapATAC is the only method able to analyze a large dataset (>ā€‰80,000 cells).
Keyphrases
  • single cell
  • rna seq
  • healthcare
  • genome wide
  • primary care
  • stem cells
  • high throughput
  • gene expression
  • clinical practice
  • oxidative stress
  • electronic health record