SPDEv3.0: A multidisciplinary integrated data analysis platform

Area of Science:

• Plant genomics
• Bioinformatics
• Computational biology

Background:

• Plant research struggles with integrating diverse data and fragmented analytical workflows.
• Limited automation in current tools hinders efficiency and reproducibility.
• Need for an integrated solution to streamline complex plant genomics tasks.

Purpose of the Study:

• To develop SPDEv3.0, a fully integrated bioinformatics platform with a graphical user interface.
• To address limitations in data integration, automation, and visualization in plant research.
• To enhance efficiency, reproducibility, and accessibility of plant genomics and breeding research.

Main Methods:

• Developed SPDEv3.0, a platform with over 130 functions across seven modules.
• Integrated high-level automation for tasks like gene family identification and primer design.
• Included over 30 customizable visualization functions and 40 classical breeding methods.

Main Results:

• SPDEv3.0 streamlines complex workflows with minimal manual intervention.
• Collinearity analysis completed in under 2 minutes for plant genomes.
• Users can generate publication-ready figures without coding.
• Automated computation for 40 classical breeding methods is supported.
• Benchmarking shows robust performance and scalability across large plant genomes.

Conclusions:

• SPDEv3.0 offers a powerful and accessible solution for modern plant genomics and breeding.
• The platform enhances analytical efficiency and reproducibility through high automation.
• Integrated visualization and breeding methods support data-driven research and discovery.