Virtual Gene Concept and a Corresponding Pragmatic Research Program in Genetical Data Science.

Area of Science:

• Genetics
• Bioinformatics
• Systems Biology

Background:

• Mendel's particle-based heredity paradigm has influenced genetics for over 150 years.
• Omics data has diversified Mendelian concepts, leading to the virtual gene concept.
• The virtual gene concept integrates genetic, functional, and molecular features.

Purpose of the Study:

• To advocate for the pragmatic deployment of the virtual gene concept.
• To highlight the virtual gene concept's role in advancing genetical data science.
• To outline a research program inspired by the virtual gene concept.

Main Methods:

• Leveraging omics data accumulation.
• Integrating bioinformatics, machine learning, and deep learning methodologies.
• Focusing on systems genetics approaches.

Main Results:

• The virtual gene concept has inspired a practical research program in systems genetics.
• The research program addresses gene variant functionality, gene expression regulation, and epigenetic roles.
• The methodology incorporates advanced computational techniques.

Conclusions:

• The virtual gene concept offers a pragmatic framework for modern genetics.
• Systems genetics research requires support through education, funding, and standardized tools.
• Continued development in genetical data science is crucial for biological understanding.