• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE-CS_LogoTM-orange
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
IEEE-CS_LogoTM-orange

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2026 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Publications
  • /Tech News
  • /Research
  • Home
  • / ...
  • /Tech News
  • /Research

Where Can We Store All the World's Data? Microsoft and the University of Washington Explore DNA

By Lori Cameron

By Lori Cameron on
July 28, 2017

close up of DNA strand

Researchers say that the "digital universe” will grow to more than 16 zettabytes in 2017. How much is that, you ask?

Sixteen zettabytes is equal to roughly 16 billion terabytes or 16 trillion gigabytes. And as big data and the Internet of Things grow, we will see an even greater explosion of data. This raises the question: Where will we store it all?

One answer is DNA.

A DNA storage system synthesizes DNA molecules to represent data and stores them in pools. To read the data, it selects molecules from the pool, amplifies them, and sequences them back to digital data. A single gram of DNA can hold 215 petabytes.

Because of the impending limitations of silicon, researchers from Microsoft and the University of Washington formed the Molecular Information Systems Lab (MISL) to explore hybrid silicon and biochemical systems—such as DNA—as alternative storage systems with the capacity to store the never-ending deluge of information our digital society creates and distributes every day.

Read more about their work in the May/June 2017 issue of IEEE Micro. (Login may be required for full text.)


About Lori Cameron

Lori Cameron is a Senior Writer for the IEEE Computer Society and currently writes regular features for Computer magazine, Computing Edge, and the Computing Now and Magazine Roundup websites. Contact her at l.cameron@computer.org. Follow her on LinkedIn.

LATEST NEWS
From Clicks to Conversations: How HCI Is Evolving in an AI-First World
From Clicks to Conversations: How HCI Is Evolving in an AI-First World
The AI Adoption Gap: Why Enterprise AI Fails After Deployment
The AI Adoption Gap: Why Enterprise AI Fails After Deployment
Inspiring Tomorrow’s Innovators: IEEE CS Juniors TechXperience Kenya 2026
Inspiring Tomorrow’s Innovators: IEEE CS Juniors TechXperience Kenya 2026
Parallel Systems, Leadership, and Research Strategy in Computing: an Interview with Jean-Luc Gaudiot
Parallel Systems, Leadership, and Research Strategy in Computing: an Interview with Jean-Luc Gaudiot
Top HCI Trends in 2026: The Rise of AI Agents and Invisible Interfaces
Top HCI Trends in 2026: The Rise of AI Agents and Invisible Interfaces
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter
Read Next

From Clicks to Conversations: How HCI Is Evolving in an AI-First World

The AI Adoption Gap: Why Enterprise AI Fails After Deployment

Inspiring Tomorrow’s Innovators: IEEE CS Juniors TechXperience Kenya 2026

Parallel Systems, Leadership, and Research Strategy in Computing: an Interview with Jean-Luc Gaudiot

Top HCI Trends in 2026: The Rise of AI Agents and Invisible Interfaces

From CMDB to Dynamic Digital Twins: Lessons Learned in Building Enterprise Digital Brains

An Evaluation of Autoencoder Architectures for Fraud Detection in Credit Card Transactions

Parallel Systems, Leadership, and Research Strategy in Computing: an Interview with Jean-Luc Gaudiot