Neuromics Explorer
UK DRI Core Informatics Team
  • Homepage
  • Visualisation - Díaz Castro Lab
  • Visualisation - Hong Lab

Welcome to the UK DRI Neuromics Data Explorer - a gateway to a harmonised Omics data visualisation portal for UK DRI research labs under the Glial theme.

This interactive dashboard prototype allows researchers to seamlessly explore and visualise multiomic datasets from various studies, all in one place.

What can you do?
  • Interactive visualisation: Identify patterns across different studies - generate and share publication-ready plots
  • Intra-study analysis: Compare gene expression across datasets within the selected lab
  • Multi-modal integration: Compare protein and gene expression levels simultaneously
  • Data export: Download filtered results for further analysis

Quick Start Guide

  1. Select laboratory → Choose your selected lab as data source

  2. Pick datasets → Select one or more studies

  3. Search genes → Search for your genes/ proteins of interest

  4. Explore results → Navigate to lab-specific, then omic-specific tab

  5. Visualise & export → View and manipulate plots and download relevant data

Search

Search across multiple gene identifiers, aliases, and protein names.

Useful Visualisations

Interactive heatmaps, volcano plots, and correlation analyses with publication-quality plots

Cross-Platform

Integrate proteomics and transcriptomics data to validate findings across omics layers.

Export Ready

Download filtered datasets and respective statistical results.

  • Proteomics
  • Bulk RNASeq
  • Experimental results
  • QC Plots
  • Differential Expression
  • Comparative Viewers

Download
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  • Histogram plots
  • PCA plots
  • Violin plots
  • Bar plots

Histogram Plots by assay

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Histogram plot showing logFC distribution across selected datasets.


PCA Plot by assay

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PCA plot showing potential correlations, clustering, and variance between samples and conditions by reduction of multidimensional data.

Violin Plots by assay

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Violin plot showing statistical distribution of expression values across selected categories with an overlayed boxplot.

WARNING: THIS BARPLOT TAB IS UNDER CONSTRUCTION.





Bar Plots by assay

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Barplots showing the gene or protein expression of samples, conditions, etc.

Threshold summaries


Multiple Volcano Plots by Study

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Volcano plot showing differentially expressed genes between selected conditions.

Default Behaviour

When gene(s) are selected in the side panel, an asterisk will denote them on the heatmap.


Heatmaps by Study

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Comparative hierarchical visualisation of proteins across selected datasets.

  • Experimental results
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  • Proteomics
  • Single-Cell
  • Experimental results
  • QC Plots
  • Differential Expression
  • Comparative Viewers
Download
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  • Histogram plots
  • PCA plots
  • Violin plots
  • Bar plots

Histogram Plots by assay

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Histogram plot showing logFC distribution across selected datasets.


PCA Plot by assay

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PCA plot showing potential correlations, clustering, and variance between samples and conditions by reduction of multidimensional data.

Violin Plots by assay

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Violin plot showing statistical distribution of expression values across selected categories with an overlayed boxplot.

WARNING: THIS BARPLOT TAB IS UNDER CONSTRUCTION.



Bar Plots by assay

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Barplots showing the gene or protein expression of samples or conditions, etc.

Threshold summaries


Multiple Volcano Plots by Study

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Volcano plot showing differentially expressed genes between selected conditions.

  • Heatmaps Plots
Default Behaviour

When gene(s) are selected in the side panel, an asterisk will denote them on the heatmap.


Heatmaps by Study

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Comparative hierarchical visualisation of proteins across selected datasets.

  • Experimental results
  • QC Plots
  • Differential Expression
  • Cell-based plots
  • Comparative Viewers
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  • Histogram plots
  • Dim-Red plots
  • Violin plots
  • Bar plots

Histogram Plots by assay

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Histogram plot showing logFC distribution across selected datasets.

DimRed Plots by assay









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Plot showing principal components analysis (PCA), t-stochastic neighbour embedding (t-SNE) and uniform manifold approximation and projection (UMAP) analyses on cells, based on the expression data.

Gene Expr Plots by assay








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Plot showing gene expression levels overlaid on UMAP coordinates of cells.

Violin Plots by assay

Violin plot showing statistical distribution of expression values across selected categories with an overlayed boxplot.



Bar Plots by assay

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Stacked barplots showing the percent composition of samples, groups, clusters, or other groupings.

Threshold summaries


Multiple Volcano Plots by Study

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Volcano plot showing differentially expressed genes between selected conditions.

  • Dot plot
  • Scater plot
  • Feature Scatter Plot
  • SC Violin
  • HighestExprs
Default Behaviour

If no gene(s) are selected, dot plot will display the first 15 features in no particular order.



Dot Plot by assay

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Dot plot shows expression by cluster (or any other category) for several genes simultaneously. Size and colour of each dot represents the proportion of detected expression values and the average expression, respectively, for each feature in each grouping. If no gene(s) are selected, plot will display the first features.

Scater Plot by assay

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Scater plot showing the overview of expression for each cell i.e. relative proportion of the library size accounted for by the most highly expressed features for each cell.

Requirement:

Add 2 valid genes to visualise the scatter plot.

Feature Scatter Plot by Study

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Scatter plot showing the expression values of two selected features across cell types.

Default Behaviour

If no gene(s) are selected in the side panel's gene's list, the first 4 will be chosen by default.

Violin Plot by Study

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Violin plot showing statistical distribution of expression values across selected categories.

HighestExprs Plots

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HighestExprs plot showing the highest average expression across all cells, along with their expression in each individual cell.

  • Heatmaps
Default Behaviour

If no gene(s) or cell ID(s) are selected in the side panel or drop-down respectively, the first 30 and 50, respectively, are chosen by default.






Toggle ON to use searched genes, OFF to use gene range
Gene Range Selection:
Using Searched Genes:
Use the Gene Search in the sidebar to select specific genes

Heatmap

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Heatmap plot showing the expression values for each cell and specified features within the single-cell experiment.