Related Experiment Video
Updated: Feb 4, 2026

Nanopore DNA Sequencing for Metagenomic Soil Analysis
Published on: December 14, 2017
Unlocking the full potential of nanopore sequencing: tips, tricks, and advanced data analysis techniques
Daria Meyer1,2, Winfried Goettsch1,3, Jannes Spangenberg1
1RNA Bioinformatics and High-Throughput Analysis, Friedrich Schiller University, Leutragraben 1, 07743 Jena, Germany.
Abstract:
Nucleic acid sequencing is the process of identifying the sequence of DNA or RNA, with DNA used for genomes and RNA for transcriptomes. Deciphering this information has the potential to greatly advance our understanding of genomic features and cellular functions. In comparison to other available sequencing methods, nanopore sequencing stands out due to its unique advantages of processing long nucleic acid strands in real time, within a small portable device, enabling the rapid analysis of samples in diverse settings. Evolving over the past decade, nanopore sequencing remains in a state of ongoing development and refinement, resulting in persistent challenges in protocols and technology. This article employs an interdisciplinary approach, evaluating experimental and computational methods to address critical gaps in our understanding in order to maximize the information gain from this advancing technology. Here, we present both overview and analysis of all aspects of nanopore sequencing by providing statistically supported insights. Thus, we aim to provide fresh perspectives on nanopore sequencing and give comprehensive guidelines for the diverse challenges that frequently impede optimal experimental outcomes.
Related Concept Videos
Sample Preparation for Analysis: Advanced Techniques
Acid digestion with strong acids is commonly used to dissolve inorganic materials that are insoluble (do not dissolve) in water. This method can be useful for...
Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques
Analysis of Population Pharmacokinetic Data
Overview of Microsoft Excel as a Data Analysis Tool
Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Statistical Software for Data Analysis and Clinical Trials

