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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Multi Locus View: an extensible web-based tool for the analysis of genomic data.

Martin J Sergeant¹, Jim R Hughes^1,2, Lance Hentges¹

¹MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.

Communications Biology

|May 26, 2021

Summary

Multi Locus View (MLV) is a web tool for interacting with genomics datasets. It allows detailed visualization and analysis of next-generation sequencing data, improving biological data interpretation.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Genomics research generates vast amounts of data from next-generation sequencing (NGS) technologies like ChIP-seq, RNA-seq, and ATAC-seq.
Current analysis methods often yield tabular outputs and static visualizations, limiting detailed data interpretation.
Conventional genome browsers offer limited interactivity, restricting users to single genomic locations.

Purpose of the Study:

To develop an interactive web-based tool, Multi Locus View (MLV), for enhanced visualization and analysis of genomics datasets.
To enable users to interact with genomic data at multiple scales, from individual loci to entire datasets.
To facilitate data sharing and community assessment of genomic analyses.

Main Methods:

Development of a web-based platform, Multi Locus View (MLV).
Implementation of functionalities for browsing raw genomics data.
Integration of data clustering, combination with other analyses, and annotation capabilities.

Main Results:

MLV provides fluid interaction with genomics datasets at multiple scales.
Users can visualize underlying data in detail, overcoming limitations of static outputs.
The tool supports browsing, clustering, combining, and annotating user-generated datasets.

Conclusions:

MLV enhances the interpretation of complex genomics data by enabling detailed, interactive visualization.
The tool improves data reproducibility and quality assessment in biological sciences.
MLV facilitates collaboration and dissemination of genomic research findings through public sharing.