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Abstract While the archival digital memory industry approaches its physical limits, the demand is significantly increasing, therefore alternatives emerge. Recent efforts have demonstrated DNA’s enormous potential as a digital storage medium with superior information durability, capacity, and energy consumption. However, the majority of the proposed systems require on-demand de-novo DNA synthesis techniques that produce a large amount of toxic waste and therefore are not industrially scalable and environmentally friendly. Inspired by the architecture of semiconductor memory devices and recent developments in gene editing, we created a molecular digital data storage system called “DNA Mutational Overwriting Storage” (DMOS) that stores information by leveraging combinatorial, addressable, orthogonal, and independent in vitro CRISPR base-editing reactions to write data on a blank pool of greenly synthesized DNA tapes. As a proof of concept, this work illustrates writing and accurately reading of both a bitmap representation of our school’s logo and the title of this study on the DNA tapes. 

Structural DNA nanotechnology is a powerful technique for bottom-up self-assembly of nanoscale structures. Potential applications are vast and only limited by the researchers' imagination. For large and complex structures, the manual or semi-automatic designing process is time-consuming and requires a detailed inspection of the model, leading to user error. We introduce MENDEL, a software library that allows the automatic, extensive, and parametric DNA nanostructures design in this work. MENDEL contains a set of commands that automate the designing process, allow the abstraction of turning sites, compute staples, and parametrize scaling and repetitive features; thus, reducing user error, design complications, and time-to-complete. Running MENDEL through Blender renders a 3D representation of the model. Also, for community convenience, MENDEL generates caDNAno/CanDo compatible files. MENDEL is available as open-source software at https://github.com/SBMI-LAB/MENDEL.