FrameD

FrameD simulates DNA-based data storage systems to enable comparative evaluation of diverse storage architectures and their responses to sequencing-derived errors.

Key Features:

• Modular design framework: Expresses different DNA storage design configurations by composing reusable components representing encoding, decoding, and storage modules.
• Comprehensive simulation capabilities: Simulates a broad spectrum of DNA storage system designs and supports detailed comparisons across methodologies and error models.
• Error model analysis: Models the impact of different error rates and error types on system performance to assess reliability under varied conditions.
• Strand copy handling evaluation: Compares approaches that employ multiple sequence alignment on strand copies with approaches that do not to determine their relative utility under specific error conditions.
• Parallel processing for large datasets: Executes transparent parallelism to process large volumes of sequencing reads and many fault injection iterations for realistic, scalable simulation.

Scientific Applications:

• Design comparison and benchmarking: Enables quantitative comparison of alternative DNA storage architectures and reconstruction strategies using simulated sequencing data and error models.
• Robustness assessment: Evaluates how different error rates and types affect end-to-end data recovery from DNA-encoded information.
• Method evaluation: Assesses the conditions under which multiple sequence alignment and other reconstruction techniques improve or do not improve data retrieval from strand copies.

Methodology:

Simulates diverse DNA storage architectures, injects fault models representing different error rates and types, optionally applies multiple sequence alignment to strand copies, and processes large volumes of sequencing reads using transparent parallelism across many fault injection iterations.