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1
Introduction
2
What is ATAC
3
Example
4
Broadness of the peak
5
Combinatorial indexbased approach
6
Workflow overview
7
Adapter training
8
Fragment files
9
Cell QC
10
TSS Enrichment Score
11
TSS Enrichment Score Visualization
12
Metric Distribution
13
Doublets
14
Doublet Detection
15
Feature Cell Count
16
Dimensionality Reduction
17
TFIDF
18
Matrix Factorization
19
Clustering
20
Hierarchical clustering
21
Visualization
22
downstream analysis
23
popular tools
Description:
Explore the fundamentals of single-cell ATAC-Seq data analysis in this comprehensive 45-minute Medical and Population Genetics Primer lecture. Delve into key concepts such as ATAC technology, combinatorial index-based approaches, and workflow overviews. Learn about essential quality control measures, including TSS Enrichment Scores and doublet detection. Discover dimensionality reduction techniques, clustering methods, and visualization strategies for interpreting complex datasets. Gain insights into popular tools and downstream analysis techniques used in the field. Presented by Dongwon Lee from Boston Children's Hospital, Harvard Medical School, and the Broad Institute of MIT and Harvard, this lecture provides a solid foundation for understanding and applying single-cell ATAC-Seq analysis in genomics research.

MPG Primer: Understanding Single Cell ATAC-Seq Data Analysis (2024)

Broad Institute
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