Lightweight genome viewer: portable software for browsing genomics data in its chromosomal context.

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• Presents the lightweight genome viewer (lwgv), a web-based tool for visualizing sequence annotations within their chromosomal context.
• Highlights lwgv's ability to perform key functions of larger genome browsers using standard flat-file formats, eliminating the need for extensive databases.
• Addresses the challenge of displaying novel data alongside static annotations, a common requirement for discovery-driven visualization.

Purpose of the Study:

• To introduce and describe the lightweight genome viewer (lwgv) as a simplified solution for genomic data visualization.
• To demonstrate the utility of lwgv in visualizing user-generated results in their chromosomal context on a local computer.
• To showcase lwgv's flexibility and applicability across diverse scales and contexts, from whole genomes to single genes.

Main Methods:

• Utilizes standard flat-file formats for data input, bypassing the need for complex database systems.
• Employs transient files for dynamic analysis results, which can be integrated with static content from permanent files.
• Designed as a web-based application for accessible visualization.

Main Results:

• lwgv effectively simplifies the visualization of user-generated results on local computing environments.
• The tool successfully integrates dynamic analysis outputs with static annotations, facilitating comparative visualization.
• Demonstrated broad applicability in various use cases, including whole genome browsing and visualization for single-gene RNAi design.

Conclusions:

• lwgv serves as a lightweight, efficient alternative to large, database-dependent genome browsers.
• The tool is particularly suitable for projects involving short sequences to medium-sized genomes where extensive software and database infrastructure is not feasible or desired.
• lwgv facilitates the visualization of biological annotations and dynamic analyses within their chromosomal context without requiring substantial setup.