Genome Context Viewer (GCV) version 2: enhanced visual exploration of multiple annotated genomes

Area of Science:

• Genomics
• Bioinformatics
• Evolutionary Biology

Background:

• Comparative genomics requires tools to analyze syntenic structures across diverse genome assemblies.
• Identifying genomic rearrangements and evolutionary events is crucial for understanding functional consequences.

Purpose of the Study:

• Introduce Genome Context Viewer (GCV) version 2.0, enhancing usability, performance, and deployment.
• Provide a web application for real-time identification, alignment, and visualization of genomic regions.
• Facilitate the exploration of multiple annotated genomes to reveal evolutionary mechanisms.

Main Methods:

• Utilizing gene annotations as the primary unit for searching and comparing genomic regions.
• Developing a web application capable of querying federated data sources in real-time.
• Implementing algorithms to compute and display micro- and macrosyntenic relationships.

Main Results:

• GCV 2.0 offers improved performance and user experience for comparative genomic analysis.
• The application effectively visualizes syntenic structures and identifies genomic divergence.
• New features enhance the ease of deployment and accessibility for researchers.

Conclusions:

• Genome Context Viewer 2.0 is a valuable tool for comparative genomics and evolutionary studies.
• The application facilitates rapid exploration of genomic data, aiding in the discovery of evolutionary events.
• Enhanced usability and performance make GCV 2.0 a powerful resource for the scientific community.