YQFC

YQFC compares quantitative biological features between two yeast gene lists to identify statistically significant differences across 85 features such as number of mRNA isoforms, mRNA half-life, protein half-life, transcriptional plasticity, and translational efficiency.

Key Features:

• Direct Comparison Capability: Compares two distinct gene lists simultaneously to enable direct investigation of differences (for example, stress-induced versus stress-repressed genes).
• Comprehensive Quantitative Feature Analysis: Evaluates 85 quantitative features rather than qualitative annotations, including number of mRNA isoforms, mRNA half-life, protein half-life, transcriptional plasticity, and translational efficiency.
• Robust Statistical Testing: Applies t-test, U test (Mann-Whitney U test), and KS test (Kolmogorov-Smirnov test) to each quantitative feature to assess statistical differences between lists.
• Dataset Integration: Uses a comprehensive dataset compiled from literature sources and yeast databases for the quantitative features.

Scientific Applications:

• High-throughput omics comparison: Enables comparative analysis of gene sets derived from transcriptomics, proteomics, and other omics experiments.
• Functional and regulatory differentiation: Identifies distinct functional or regulatory characteristics that separate two gene lists based on quantitative molecular features.
• Mechanistic insight into phenotypes: Supports investigation of molecular mechanisms underlying specific phenotypic responses or adaptations by comparing quantitative feature distributions.

Methodology:

Integrates a comprehensive dataset from literature and yeast databases, processes 85 quantitative features, and applies t-test, U test (Mann-Whitney U test), and KS test (Kolmogorov-Smirnov test) to each feature for comparison between the two gene lists.