TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Advancements in sequencing technologies generate vast amounts of genome-scale data.
• Genome-wide association studies (GWASs) are crucial for utilizing this data.
• A need exists for tools to efficiently visualize, integrate, and share large-scale genotypic and phenotypic data.

Purpose of the Study:

• To develop a user-friendly, web-based visualization tool for GWAS data.
• To enable efficient data retrieval, integration, and public release of genomic and phenotypic data.
• To support researchers in analyzing and sharing complex genetic information.

Main Methods:

• Development of TASUKE+, a web-based genome browser.
• Implementation of interactive visualization of GWAS results with resequencing data and annotations.
• Integration of functionalities for PCR primer design and phylogenetic tree reconstruction.
• Provision of user-friendly web interfaces for data sharing.

Main Results:

• TASUKE+ allows interactive and scalable display of GWAS results alongside polymorphism data, read depths, and annotations.
• Users can design PCR primers for specific polymorphic sites.
• Phylogenetic trees can be reconstructed to understand genome relationships.
• The tool facilitates easy data sharing among researchers globally.

Conclusions:

• TASUKE+ provides an efficient platform for visualizing and analyzing large-scale genomic data, particularly GWAS results.
• The tool simplifies complex bioinformatics tasks, making advanced genetic analysis accessible to a broader research community.
• It promotes collaborative research by enabling seamless data sharing and integration.