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Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....

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Updated: Aug 10, 2025

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

Nanopore Deciphering Single Digital Polymers Towards High-Density Data Storage.

Zheng-Li Hu^1,2, Yu-Hang Liu¹, Kai-Li Xin¹

¹State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.

Chemistry (Weinheim an Der Bergstrasse, Germany)

|February 14, 2023

Summary

This summary is machine-generated.

Sequence-defined polymers offer a promising solution for high-density data storage, addressing limitations of current silicon devices. Nanopore sequencing techniques are advancing the reading and decoding of information stored in these polymers and DNA nanostructures.

Keywords:

future information technology high-density data storage nanopore sequencing and decoding sequence defined polymer single monomer resolution

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Last Updated: Aug 10, 2025

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Area of Science:

Materials Science
Biotechnology
Data Storage Technologies

Background:

Explosively increasing data volumes necessitate novel high-density data storage solutions beyond conventional silicon-based devices.
Sequence-defined polymers, combining natural and unnatural monomers, present a promising alternative medium for data storage.
Accurate reading and decoding methods are crucial for realizing the potential of polymer-based data storage.

Purpose of the Study:

To highlight advances in nanopore-based reading and decoding of information stored in man-made polymers and DNA nanostructures.
To discuss the challenges and opportunities in developing high-density data storage using sequence-defined polymers.
To explore the potential of nanopore sequencing for both natural and synthetic polymer analysis.

Main Methods:

Utilizing nanopore-based approaches for single-molecule analysis.
Developing methods for precise reading and decoding of sequence-defined polymers.
Investigating the application of nanopore sequencing to DNA nanostructures.

Main Results:

Nanopore sequencing demonstrates potential for monomeric resolution in reading polymers.
Advances in nanopore techniques facilitate the analysis of complex polymer sequences.
Demonstrated feasibility of reading information encoded in synthetic polymers and DNA nanostructures.

Conclusions:

Nanopore sequencing is a competitive technique for analyzing natural and synthetic polymers with high precision.
Further development in nanopore technology is essential for realizing high-density data storage solutions.
Sequence-defined polymers and DNA nanostructures hold significant promise for future data storage applications.