Instruction — Getting Started Guide¶
Header: Instruction
The Instruction tab is the default landing page after login. It provides a built-in quick-start reference with three sections:
Getting Started¶
A numbered guide walking you through the core workflow:
- Create a Project — Click New Project in the sidebar, enter NCBI accession IDs (e.g.,
PRJNA288044) and a project name, click Fetch to retrieve SRA run metadata, annotate runs with Sample Name, Group Name, and Treat/Control labels, define contrasts (Reference vs Target), and click Done to save and submit the project for RNA-Seq analysis. - Select a Project — Use the Project dropdown in the sidebar to switch between saved projects. Projects with a
- Not readylabel are waiting for the RNA-Seq pipeline to complete. Once processing finishes, all visualization tabs become available. - Explore Reports — Navigate the visualization tabs in the top navigation bar.
Report Descriptions¶
A table summarizing each visualization tab and its purpose:
| Tab | Description |
|---|---|
| PCA | Sample clustering via Principal Component Analysis |
| Volcano | Interactive volcano plot for DESeq2 differential expression results |
| Box | Box plot of normalised count distribution per sample |
| Violin | Violin plot of expression distribution density |
| Bar | Filtered gene up vs down count by gene description |
| Heatmap by Gene | Gene-level heatmap of Z-score normalised expression |
| Heatmap by Sample | Sample-to-sample Pearson correlation heatmap |
| GO | Gene Ontology enrichment analysis (BP, CC, MF) |
| KEGG | KEGG pathway enrichment analysis |
| KEGG Pathway Map | Interactive KEGG pathway network with expression overlay |
| PPI | Protein-protein interaction network via STRING DB |
| Co-expression | Gene correlation network from normalised counts |
| Venn | DEG overlap across 2–3 contrasts |
| Enrichment Compare | Cross-contrast GO/KEGG enrichment comparison heatmap |
Sidebar Controls Summary¶
- Project — Switch between saved analysis projects
- Contrast — Select which DESeq2 contrast to display (appears when multiple contrasts exist)
- Filters — Adjust p-value and log2 fold change thresholds, Top N, filter or highlight genes by ID or description
- PCA Axes — Select principal components for X and Y axes
- Appearance — Customize dot size, plot dimensions, colors (Up, Down, Select, Others, Title, BG, Axis), font size/color, and threshold line style/color
- Presets — One-click styles: Publication, Presentation, Screen, or Reset to defaults
- New Project — Create a new analysis project from NCBI accession data
Need Help?¶
Contact information for Liragen support.