Yale73 / scRNA-seq-for-diverse-human-rashes

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Classification of human chronic inflammatory skin disease based on immune single-cell profiling

This GitHub provides code to analyze scRNA sequencing data and generate figures in Yale Liu, Hao Wang, Mark Taylor et al (https://www.science.org/doi/10.1126/sciimmunol.abl9165).

Raw bam files are deposited at the EGA under accession number EGAS00001005271, while the final seurat object with cell identites is saved at Zenodo with https://zenodo.org/record/5228495 (or https://zenodo.org/record/6470377#.Yl_f2oVBxPa). Raw fastq files or tsv/matrix file can be obtained through corresponding author. (PS: The Zenodo link in Science Immunol paper is a deposit one and cannot be access. Please use the above links. Sorry for the inconvenience.)

Our paper based webpage tool can be accessed here: https://rashX.ucsf.edu

Produced in the Cheng/Cho Lab, Dept. of Dermatology, University of California, San Francisco. If you have any question or request other data information, please feel free to email the corresponding authors

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