YoVDO

DNA Data Storage and Near-Molecule Processing for the Yottabyte Era

Offered By: USENIX via YouTube

Tags

FAST (File and Storage Technologies) Courses Biology Courses Programming Languages Courses Machine Learning Courses Computer Architecture Courses Environmental Sustainability Courses

Course Description

Overview

Explore the potential of DNA data storage and near-molecule processing in this keynote address from FAST '21. Delve into the development of an end-to-end system, covering computational aspects of encoding and decoding, as well as molecular biology components like random access, sequencing, and fluidics automation. Learn about early efforts in creating hybrid electronic/molecular computer systems that offer capabilities beyond data storage, such as image similarity search. Gain insights into the advantages of DNA data storage, including extreme density, durability, eternal relevance, and environmental sustainability. Discover the exponential improvements in DNA data storage technology and its potential applications in the yottabyte era. Examine the integration of digital microfluidics as a versatile platform for wet lab preparation protocols and the development of affordable full-stack software/hardware solutions. Explore the future of hybrid systems that combine digital and molecular computing technologies.

Syllabus

Intro
When Moore met Feynman
DNA data storage basics
Comparison with other media
Ability to make copies
DNA encoding
DNA synthesis
Reading DNA with sequencing by synthesis
Different error profile across platforms
DNA decoding and error correction
Exponential improvements in DNA data storage
Performance of reading and writing DNA
DNA storage end-to-end system w/ integrated computing
Searching with DNA
Content based media search
"Semantic" Hashing
Learning-based encoding
Yottabyte-scale near-molecule computing?
Digital microfluidics Versatile platform to implement wet lab preparation protocols
Affordable full-stack SW/HW digital microfluidics platform
Hardware, software, wetware
Future hybrid systems


Taught by

USENIX

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