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Updated: Apr 29, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

SpatialView: an interactive web application for visualization of multiple samples in spatial transcriptomics

Chitrasen Mohanty¹, Aman Prasad², Lingxin Cheng¹

¹Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53726, United States.

Bioinformatics (Oxford, England)

|March 6, 2024

Summary

This summary is machine-generated.

SpatialView is a new open-source tool that visualizes spatial transcriptomics (ST) data. This interactive application helps researchers explore gene expression and cellular organization in tissues, advancing disease research.

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

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Published on: December 7, 2021

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Spatial transcriptomics (ST) enables genome-wide gene expression analysis with spatial localization.
Understanding cellular heterogeneity and tissue organization is crucial in biological and clinical research.
Current limitations exist in interactive visualization tools for ST data, hindering comprehensive analysis.

Purpose of the Study:

To develop an interactive, web-based application for visualizing spatial transcriptomics data.
To provide a user-friendly platform for analyzing and interpreting results from ST experiments.
To enhance the utility of ST data for clinical and basic science investigations.

Main Methods:

Development of SpatialView, an open-source, web browser-based application.
Implementation of interactive visualization features for ST data.
Designed for compatibility with 10× Genomics Visium spatial transcriptomics experiments.

Main Results:

SpatialView offers an interactive suite for visualizing ST data and analysis results.
The application facilitates the exploration of spatial gene expression patterns.
Demonstrates a solution to the lack of interactive visualization tools for ST.

Conclusions:

SpatialView addresses the need for interactive visualization in spatial transcriptomics.
The tool is expected to benefit researchers studying disease and cellular biology.
Facilitates deeper insights into tissue architecture and cellular heterogeneity.