CAMPAREE: a robust and configurable RNA expression simulator.

Area of Science:

• Bioinformatics
• Computational Biology
• Genomics

Background:

• Accurate RNA sequencing (RNA-Seq) data interpretation is challenging due to evolving experimental techniques and analysis algorithms.
• Simulated datasets are crucial for evaluating RNA-Seq analysis method performance.
• Current RNA-Seq simulators primarily model technical biases, not the original RNA samples.

Purpose of the Study:

• To develop a novel RNA simulator that models diploid RNA samples at the individual molecule level.
• To address the need for simulators that focus on the biological source of RNA data.

Main Methods:

• Developed the Configurable And Modular Program Allowing RNA Expression Emulation (CAMPAREE).
• Utilized empirical data for simulation.
• Modeled RNA samples at the level of individual molecules.

Main Results:

• CAMPAREE can generate idealized coverage plots from real data.
• CAMPAREE adds allele-specific data generation capabilities to existing RNA-Seq simulators.
• Demonstrated the simulation of diploid RNA samples.

Conclusions:

• Separating sample simulation from sequencing simulation offers flexibility for users and developers.
• Independent maintenance of simulators allows for agile incorporation of new biological and technological advancements.
• CAMPAREE's molecular-level simulation enables modeling of heterogeneous transcript populations, including degradation and processing states.