Single-cell RNA-seq Analysis of Chicken

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Autor principal: wang, fei
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Publicado: Zenodo 2026
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author wang, fei
author_facet wang, fei
contents <p>Analysis pipelines for the Chicken Single Cell Atlas </p> <p>1. Introduction</p> <p>We present a comprehensive chicken single-cell atlas comprising 1.57 million cells across 36 tissues and 157 cell types. This resource reveals the evolutionary dynamics of avian cell types, particularly immune cells, and provides new insights into immune system evolution across amniotes.</p> <p>2. Analysis pipeline</p> <p>This repository contains the analysis pipelines used in the Chicken Single Cell Atlas, including:</p> <p>CARD for spatial transcriptomics analysis</p> <p>CCA integration for  data integration</p> <p>CellChat for cell–cell communication analysis</p> <p>Gene expression pattern analysis</p> <p>MAST-based differential expression analysis for single-cell data</p> <p>MetaNeighbor for cell-type similarity analysis</p> <p>Monocle and Slingshot for cell developmental trajectory inference</p> <p>SCENIC/GENIE3 for transcriptional regulatory network analysis</p> <p>Seurat-based single-cell analysis</p> <p>Spearman correlation analysis</p> <p>WGCNA for weighted gene co-expression network analysis</p> <p>3. Citation</p> <p>Chicken Single Cell Atlas </p>
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publishDate 2026
publisher Zenodo
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spellingShingle Single-cell RNA-seq Analysis of Chicken
wang, fei
<p>Analysis pipelines for the Chicken Single Cell Atlas </p> <p>1. Introduction</p> <p>We present a comprehensive chicken single-cell atlas comprising 1.57 million cells across 36 tissues and 157 cell types. This resource reveals the evolutionary dynamics of avian cell types, particularly immune cells, and provides new insights into immune system evolution across amniotes.</p> <p>2. Analysis pipeline</p> <p>This repository contains the analysis pipelines used in the Chicken Single Cell Atlas, including:</p> <p>CARD for spatial transcriptomics analysis</p> <p>CCA integration for  data integration</p> <p>CellChat for cell–cell communication analysis</p> <p>Gene expression pattern analysis</p> <p>MAST-based differential expression analysis for single-cell data</p> <p>MetaNeighbor for cell-type similarity analysis</p> <p>Monocle and Slingshot for cell developmental trajectory inference</p> <p>SCENIC/GENIE3 for transcriptional regulatory network analysis</p> <p>Seurat-based single-cell analysis</p> <p>Spearman correlation analysis</p> <p>WGCNA for weighted gene co-expression network analysis</p> <p>3. Citation</p> <p>Chicken Single Cell Atlas </p>
title Single-cell RNA-seq Analysis of Chicken
url https://doi.org/10.5281/zenodo.18795716