Haber2017 (GSE92332) mouse intestine dataset for Besca

{"references": ["Haber AL, Biton M, Rogel N, et al. A single-cell survey of the small intestinal epithelium. Nature. 2017;551(7680):333-339. doi:10.1038/nature24489", "La Manno G, Soldatov R, Zeisel A, et al. RNA velocity of single cells. Nature. 2018;560(7719):494-498. doi:10.1038/s41586-018-0414-6", "Luecken MD, Theis FJ. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol Syst Biol. 2019;15(6):e8746. Published 2019 Jun 19. doi:10.15252/msb.20188746"]}

Here we used Besca to reprocessed the mouse small intestine single cell transcriptomics dataset GSE92332 downloaded from GEO. It was originally published by [Haber et al. Nature. 2017] and also used in the best practices paper by [Luecken & Theis. Mol Syst Biol. 2019].

Related Organizations

Roche (Switzerland)
Switzerland

Keywords

practices paper, Immunology, Information Systems not elsewhere classified, Biophysics, Computational Biology, nature, Mol Syst Biol, Cell Biology, Haber 2017, GEO, Biochemistry, Microbiology, al, Infectious Diseases, cell transcriptomics dataset GSE 92., Luecken, Genetics, Thei, Besca, Molecular Biology, amp, Neuroscience, Biotechnology, Cancer

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