Mapping and Counting

Your Possible Next Steps

Bulk DNA-seq and RNA-seq data

• Identification of differentially expressed genes with DESeq2 (Love, Huber, and Anders 2014, see tutorial) for RNA-seq data
• Identification of sequence variants with GATK (McKenna et al. 2010, see tutorial) for DNA-seq data

10x scRNA-seq data

• Basic single-cell analysis in Loupe Browser (see tutorial)
• Advanced single-cell analysis in R with Seurat (Hao et al. 2024, see tutorial) or in python with scanpy (Wolf, Angerer, and Theis 2018, see tutorial)

10x scATAC-seq data

• Basic single-cell analysis in Loupe Browser (see tutorial)
• Advanced single-cell analysis in R with Signac (Stuart et al. 2022, see tutorial) or in python with SnapATAC2 (Zhang et al. 2024, see tutorial)

10x multiome data

• Basic single-cell analysis in Loupe Browser (see tutorial)
• Advanced single-cell analysis in R with Seurat and Signac (Hao et al. 2024; Stuart et al. 2022, see tutorial) or in python with muon (Zhang et al. 2024, see tutorial)

10x Visium data

• Basic spatial analysis in Loupe Browser (see tutorial and tutorial)
• Advanced spatial analysis in R with Seurat (Hao et al. 2024, see tutorial and tutorial) or in python with squidpy (Palla et al. 2022, see tutorial)

10x Xenium data

• Advanced spatial analysis in R with Seurat (Hao et al. 2024, see tutorial) or in python with squidpy (Palla et al. 2022, see tutorial)

References

Hao, Yuhan, Tim Stuart, Madeline H Kowalski, Saket Choudhary, Paul Hoffman, Austin Hartman, Avi Srivastava, et al. 2024. “Dictionary Learning for Integrative, Multimodal and Scalable Single-Cell Analysis.” Nature Biotechnology 42 (2): 293–304.

Love, Michael I, Wolfgang Huber, and Simon Anders. 2014. “Moderated Estimation of Fold Change and Dispersion for RNA-seq Data with DESeq2.” Genome Biology 15 (12): 550.

McKenna, Aaron, Matthew Hanna, Eric Banks, Andrey Sivachenko, Kristian Cibulskis, Andrew Kernytsky, Kiran Garimella, et al. 2010. “The Genome Analysis Toolkit: A MapReduce Framework for Analyzing Next-Generation DNA Sequencing Data.” Genome Research 20 (9): 1297–1303.

Palla, Giovanni, Hannah Spitzer, Michal Klein, David Fischer, Anna Christina Schaar, Louis Benedikt Kuemmerle, Sergei Rybakov, et al. 2022. “Squidpy: A Scalable Framework for Spatial Omics Analysis.” Nature Methods 19 (2): 171–78.

Stuart, Tim, Avi Srivastava, Shaista Madad, Caleb A Lareau, and Rahul Satija. 2022. “Author Correction: Single-cell Chromatin State Analysis with Signac.” Nature Methods 19 (2): 257.

Wolf, F Alexander, Philipp Angerer, and Fabian J Theis. 2018. “SCANPY: Large-Scale Single-Cell Gene Expression Data Analysis.” Genome Biology 19 (1): 15.

Zhang, Kai, Nathan R Zemke, Ethan J Armand, and Bing Ren. 2024. “A Fast, Scalable and Versatile Tool for Analysis of Single-Cell Omics Data.” Nature Methods 21 (2): 217–27.