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DTSTART:20241103T020000
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DESCRIPTION:Registration required Omics data is revolutionizing biological
  research\, providing deeper insights into cellular diversity and functio
 n. Single-cell RNA sequencing (scRNA-seq) enables the study of gene expre
 ssion at the individual cell level\, offering a more detailed view of het
 erogeneity within tissues or organisms. In this session\, you will learn 
 how to analyze 10X Chromium single-cell RNA-seq data using Seurat \, a wi
 dely used R package for scRNA-seq analysis. This hands-on workshop will g
 uide you through key steps in data processing\, analysis\, and visualizat
 ion\, helping you extract meaningful biological insights from your datase
 t. You will learn how to: Import and preprocess 10X Genomics single-cell 
 RNA-seq data in R. Perform quality control\, normalization\, and scaling 
 to prepare data for analysis. Apply dimensionality reduction techniques (
 PCA\, t-SNE\, UMAP) to visualize cellular diversity. Identify distinct ce
 ll populations using clustering algorithms. Conduct differential expressi
 on analysis to find marker genes. Annotate cell types using known markers
  or automated tools . Hands-on Q&A and Discussion Generate insightful vis
 ualizations\, including: UMAP/t-SNE plots for cell clustering Feature plo
 ts\, violin plots\, and dot plots for gene expression analysis Heatmaps f
 or differentially expressed genes Integrate results into RMarkdown for re
 producible reporting. Requirements: Laptop is required for this hands-on 
 workshop with R ≥4.0\, RStudio\, and Seurat installed Basic knowledge of 
 R and RStudio is recommended. Before attending\, please install the follo
 wing R packages: Seurat dplyr ggplot2 Scripts and example datasets will b
 e provided before the workshop Target Audience: This workshop is ideal fo
 r biologists\, bioinformaticians\, and computational researchers who want
  to gain hands-on experience with single-cell RNA-seq analysis. Whether y
 ou are new to scRNA-seq or looking to refine your skills\, this session w
 ill provide practical guidance for working with Seurat.\n\nSpeaker:\nUpas
 na Srivastava\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.
 edu/event/single-cell-rna-seq-data-analysis-and-visualization-using-r-a-h
 ands-on-workshop/\n
DTEND;TZID=America/New_York:20250410T120000
DTSTAMP:20260409T211533Z
DTSTART;TZID=America/New_York:20250410T100000
GEO:41.303333;-72.933741
LOCATION:Harvey Cushing/John Hay Whitney Medical Library \, SHM L111\, 333
  Cedar Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Peer-to-Peer Teaching Series- Single-Cell RNA-Seq Data Analysis an
 d Visualization Using R: A Hands-On Workshop
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