title: A STORAGE AND SEARCH DEMONSTRATION WITH DNA-ENCODED TEXT
creators: Laurel Provencher Swapnil Bhatia Sean Mihm
abstract: DNA-based data storage (DDS) holds promise to deliver a paradigm shift for long-term, secure storage of data. To tap into this potential, methods must be developed to produce data-encoding DNA molecules with cost- and time-effective processes.  Combinatorial synthesis of DNA molecules from prefabricated fragments of DNA offers a solution to this challenge.  We are developing a DNA-based platform combining encoding algorithms, high-throughput synthesis, post-synthesis processing, sequencing, decoding algorithms, and DNA computing architectures into a unified system.  DNA datasets encoding images and literary works have been successfully created and translated back into conventional data files containing the entire original set of data or a targeted subset of data.  In this work, we demonstrate the ability to search for specific molecules encoding a specific word in a DNA dataset encoding the complete text of multiple literary works.
keywords: dna sustainability storage search