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Updated: Mar 6, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

Embedded CMOS basecalling for nanopore DNA sequencing.

Chengjie Wang, Junli Zheng, Sebastian Magierowski

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|March 9, 2017

Summary

This summary is machine-generated.

Custom CMOS base-callers integrated with nanopore sensors offer improved DNA sequencing. This technology enables real-time processing of 20 human genomes daily, enhancing functionality and miniaturization for DNA analysis.

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Area of Science:

Biotechnology
Microelectronics Engineering
Genomics

Background:

Nanopore DNA sequencing technology is emerging in the market.
Integrating nanopore sensors with CMOS microelectronics offers enhanced functionality and miniaturization.
Basecalling, the process of converting raw signals to DNA sequences, is a critical function for nanopore sequencing.

Purpose of the Study:

To present the design and performance potential of custom CMOS base-callers.
To explore the integration of basecalling capabilities directly alongside nanopore sensors.
To evaluate the feasibility of real-time, high-throughput DNA sequencing using embedded microelectronics.

Main Methods:

Design of a custom CMOS base-calling architecture.
Implementation of the architecture using 32-nm technology.
Performance analysis based on processing capacity and power density.

Main Results:

The custom CMOS base-caller architecture demonstrates significant performance potential.
The design enables real-time processing of DNA sequence data.
The system can process the equivalent of 20 human genomes per day at a power density of 5 W/cm2 with a 3-mer nanopore sensor.

Conclusions:

Embedded CMOS base-callers alongside nanopore sensors represent a promising advancement in DNA sequencing technology.
This integration facilitates miniaturization and improved functionality for rapid, high-volume genomic analysis.
The developed architecture shows potential for efficient, real-time basecalling in next-generation sequencing platforms.