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Welcome to Liragen Insights

Interactive NGS Reporting Platform — https://insights.liragen.com

Liragen Insights lets you explore your RNA-Seq differential expression results through interactive, publication-quality visualizations — right in your browser. No software installation needed.

Quick Start

  • 1. Log In

    Go to insights.liragen.com and enter your credentials.

    Access & Login

  • 2. Create a Project

    Enter NCBI accession IDs, select SRA runs, and define contrasts.

    Projects

  • 3. Explore Reports

    Navigate 23 report tabs on a bulk project, 29 on a single-cell one — from PCA to UMAP.

    Visualization Tabs

  • 4. Customize

    Adjust thresholds, colors, fonts, and export publication-ready plots.

    Sidebar Controls

Reports by Category

A bulk RNA-seq project generates the 23 reports in the first seven categories. A single-cell project generates all 29, adding the Single-cell category at the end. Each report is an interactive tab in the app — click a name to open its guide.

Overview

Report What it shows
Analysis Overview RNA-Seq pipeline summary statistics for the whole project

Quality Control

Report What it shows
PCA Sample clustering and variance analysis
Box Normalised count distribution per sample
Violin The same distribution as a density shape
Heatmap by Sample Sample-to-sample correlation matrix

Differential Expression

Report What it shows
Volcano Differential expression significance vs fold change
MA Fold change vs mean expression
Bar Filtered up vs down gene counts
Gene Card Per-gene detail view
Gene Trend Expression profile across conditions
Contrast Scatter Compare fold change between two contrasts

Expression Patterns

Report What it shows
Heatmap by Gene Z-score expression patterns across samples
Clustering Dose-response / time-series expression patterns
Circos Circular differential expression visualization

Functional Enrichment

Report What it shows
GO Gene Ontology enrichment (BP, CC, MF)
KEGG KEGG pathway enrichment analysis
KEGG Pathway Map Interactive pathway network with expression overlay
Enrichment Compare Cross-contrast GO/KEGG enrichment comparison heatmap

Networks

Report What it shows
PPI Protein-protein interaction network (STRING DB)
Co-expression Gene correlation network from normalised counts
Hub Network Hub genes and their ego-networks

Multi-Contrast Overlap

Report What it shows
Venn DEG overlap across 2–3 contrasts
Upset Multi-contrast DEG intersections

Single-cell

Generated for single-cell RNA-seq projects.

Report What it shows
Cell QC Barcodes to called cells to final cells, per sample
Cell Atlas UMAP of every cell, recoloured by any field
Cell Composition Cell type proportions per sample
Cluster Markers The marker evidence behind each cell type label
DEG by Cell Type Which cell types respond, and in which direction
Pseudobulk Coverage What was tested, on how many samples, and what was skipped

Single-cell projects also include a Single-cell Figures gallery of 300 DPI publication figures. It is a set of static images rather than an interactive report, so it is not counted among the 29.

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