Eval

Eval evaluates gene-structure prediction programs by computing statistical summaries and graphical distributions to assess the performance of annotation sets.

Key Features:

• Flexibility: Handles diverse annotation sets from different sources for analysis.
• Statistical Summaries: Generates detailed statistical summaries describing performance metrics of gene-structure predictions.
• Graphical Distributions: Produces graphical distributions to visualize annotation statistics.
• Comparative Analysis: Performs comparisons between prediction sets and against standard annotations.

Scientific Applications:

• Performance Evaluation: Assess the performance of gene-structure prediction programs using statistical and graphical metrics.
• Annotation Comparison: Compare multiple annotation sets to identify differences among gene-structure predictions.
• Visualization for Interpretation: Visualize distributions of statistics to support interpretation and reporting of prediction results.

Methodology:

Computes statistical summaries, generates graphical distributions, and conducts comparative analyses between prediction sets and reference annotations.