Here you will find videos of past live training webinars.

• Bulk RNA-Seq Analysis Training

• Basic scRNA-Seq Analysis & Visualization Training

• Advanced scRNA-Seq Data Analysis Training

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Agenda with start times:

• Data set overview (00:01:14)

• Bulk RNA-Seq analysis pipeline (00:02:40)

• ATAC-Seq alignment (00:39:47)

• Filter alignment (00:42:30)

• Peak detection and chromosome view (00:46:10)

• Filter peaks (00:57:00)

• Peak annotation (01:00:20)

• Compare peak regions across samples (01:07:43)

• Compare peak regions across different samples (01:12:24)

• Motif detection (01:19:05)

• RNA-Seq and ATAC-Seq integration (01:22:25)

Agenda with start times:

• What is Partek Flow (00:1:39)

• Importing spatial transcriptome data (00:5:20)

• QA/QC, filter, and normalize data (00:13:25)

• Exploratory analysis (00:20:05)

• Batch effect removal and graph-based clustering (00:27.53)

• Integrate spatial and gene expression data (00:35.50)

• Detect differentially expressed genes (00:41:15)

• Pathway analysis and biological interpretation (00:45:15)

• Spatial transcriptome pipeline (00:50:13)

Agenda with start times:

• Transfer file to the server (00:02:28)

• Import fastq files (00:03:55)

• Add sample attributes (00:06:00)

• Pre-alignment QA/QC (00:10:45)

• Alignment QC (00:15:30)

• Quantification (00:21:45)

• Filter and normalization (00:32:13)

• Differential analysis and visualization (00:38:50)

• Filter genes to generate a heatmap (00:53:50)

• Biological interpretation (01:08:00)

Agenda with start times:

• Data import (00:01:07)

• QA/QC (00:10:52)

• Normalization (00:33:28)

• Generating a UMAP (00:35:22)

• Graph-based clustering (00:38:24)

• Cell type classification (00:42:31)

• Differential analysis (01:12:00)

Agenda with start times:

• Data introduction (00:01:45)

• Batch removal (00:03:40)

• Cell type classification (00:10:57)

• Differential gene expression detection (00:26:30)

• Cell type abundance analysis (00:32:00)

• Heatmap and bubble map (00:41:25)

• Automated cell type classification (00:53:20)

• Pseudo bulk analysis (01:01:40)

• CITE-Seq data analysis (01:09:20)

• Spatial transcriptome data analysis (01:15:30)

Agenda with start times:

• Data file format (00:00:43)

• Data import (00:10:43)

• QC and filter (00:13:26)

• scRNA analysis (00:20:10)

• scATAC peak annotation (00:20:03)

• scATAC promoter analysis (00:26:22)

• scATAC peak analysis (00:29:18)

• scRNA and scATAC integration (00:33:00)

• scATAC motif detection (00:57:09)