MIMEAnTo

MIMEAnTo analyzes mutational interference mapping (MIME) data to quantify the effects of individual mutations and identify functional domains and structures within RNA molecules.

Key Features:

• Statistical Analysis: Recovers quantitative effects of individual mutations at specific RNA sequence positions using a statistical framework to provide confidence in mutational interference mapping results.
• NGS Data Processing: Processes next-generation sequencing (NGS) data derived from randomly mutated target RNAs selected by functional criteria for downstream analysis.
• Data Visualization: Generates detailed plots of mutational data using gnuplot, with plotting facilitated via the gnuplot-iostream library.

Scientific Applications:

• RNA structure-function mapping: Pinpoints critical regions within RNA molecules that are essential for biological function based on mutation effects.
• Analysis of MIME NGS experiments: Integrates and quantitatively interprets NGS data from MIME experiments to assess mutation-function relationships.
• Informing therapeutic strategies: Supports studies aimed at understanding RNA-based mechanisms relevant to the development of RNA-targeted therapeutics.

Methodology:

Processes NGS data obtained from physically separated, functionally selected randomly mutated target RNAs and applies a statistical framework to quantify the effects of individual mutations.