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虫洞火山哥's Projects

2020-advanced_single_cell_rna_seq icon 2020-advanced_single_cell_rna_seq

Building on material from Introduction to Single Cell RNA-Seq, this workshop aims to cover advanced topics, including TCR and trajectory analysis. Instruction in introductory analysis will not be provided.

2020_grant icon 2020_grant

Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper

2020_wilk_covid icon 2020_wilk_covid

Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"

awesome-single-cell icon awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

copd_metaanalysis icon copd_metaanalysis

This depository contains key scripts used to analyze the data in the manuscript "Multi-omic meta-analysis identifies functional signatures of airway microbiome in COPD" by Wang et al.

covid_scmultiome icon covid_scmultiome

Reproducibility repository accompanying Wilk, Lee, Wei, Parks, et al. "Multi-omic profiling reveals widespread dysregulation of innate immunity and hematopoiesis in COVID-19" bioRxiv (2020).

covidomics icon covidomics

Longitudinal multi-omics analysis identifies responses of megakaryocytes, erythroid cells and plasmablasts as hallmarks of severe COVID-19 trajectories

covidpbmc icon covidpbmc

Multi-omics profiling of peripheral immune system response to SARS-CoV-2 infection

dl-mo icon dl-mo

The deeplearning methods for multi-omics data fusion

lcmv-code-2022 icon lcmv-code-2022

Code for Daniel*, Yost*, Hsiung*, et al. Divergent clonal differentiation trajectories of T cell exhaustion (2022).

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