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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
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Updated: Apr 19, 2026

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Sequencing of mRNA from Whole Blood using Nanopore Sequencing

Published on: June 3, 2019

Accurate data process for nanopore analysis.

Zhen Gu¹, Yi-Lun Ying, Chan Cao

¹Key Laboratory for Advanced Materials and Department of Chemistry, East China University of Science and Technology , 130 Meilong Road, Shanghai 200237, People's Republic of China.

Analytical Chemistry

|December 17, 2014

Summary

This summary is machine-generated.

This study introduces a new data processing method for nanopore experiments, improving the accuracy of measurements by effectively analyzing current blockades and reducing noise.

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Area of Science:

Biophysics
Nanotechnology
Data Science

Background:

Nanopore data analysis faces challenges due to large data volumes, noise, and filtering effects.
Accurate analysis of current blockades is crucial for understanding molecular events in nanopores.

Purpose of the Study:

To develop an accurate and robust data processing method for nanopore experiments.
To improve the evaluation of dwell time and current amplitude from nanopore signals.

Main Methods:

A novel second-order-differential-based calibration method for recognizing current blockades.
An integration method for evaluating dwell time and current amplitude.
Application of the developed process to both simulated and experimental nanopore data.

Main Results:

The new method accurately identifies current blockades in nanopore data.
Improved evaluation of dwell time and current amplitude compared to conventional methods.
Significant increase in the accuracy of nanopore measurements.

Conclusions:

The developed data processing method offers a robust solution for nanopore data analysis.
This approach enhances the reliability and accuracy of nanopore-based measurements.
The findings contribute to overcoming key technological challenges in nanopore sensing.