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Oxford Nanopore's technology empowers base modification analysis and nucleotide sequencing within a single read-length fragment, removing the necessity for conducting multiple sequencing experiments. This sets it apart from conventional methods as it obviates the need for intricate library preparation procedures like bisulfite sequencing for methylation. As a result, Oxford Nanopore technology enables comprehensive analysis of epigenetic modifications across the entire genome during a single experiment.
Here's the information presented in a table format for easier comparison:
Sequencer | Description | Features | Applications | Suitability |
MinION | Handheld sequencer with real-time, long-read capability | -Compact and portable design -512 active channels -Up to 30Gb of data output per run |
-De novo genome assembly -Targeted sequencing -Amplicon analysis -Metagenomics |
Great starter option for labs with varied research needs |
GridION | High-throughput sequencer | -Up to 2560 active channels -Can run multiple MinION or Flongle chips simultaneously |
-Large-scale genome-related analyses -Projects requiring substantial data output |
Ideal for labs with high-throughput requirements and large-scale projects |
PromethION | Flagship high-throughput benchtop sequencer | Up to 24 (PromethION 24) or 48 (PromethION 48) simultaneous sequencing chips High-performance computing | -De novo assembly of complex genomes -Structural variation analysis -Population-scale studies |
Suitable for labs with substantial funding and ambitious large-scale projects |
Flongle | Cost-effective and fast sequencing system | - Acts as a converter for MinION and GridION devices -Fast with 1.8 Gigabytes of data throughput per chip |
- Small-scale testing and experiments - Microbial sequencing -Tumor panel data |
Excellent choice for researchers seeking rapid and cost-effective small-scale sequencing |
MinION Mk1C | Sequencing device with integrated computing and screen | -Suitable for rapid identification of microorganisms in the field -Improved data handling and connectivity |
-Point-of-care applications -Real-time field-based analysis |
Ideal for on-site or field-based research, especially in healthcare and environmental settings |
SmidgION | The smallest nanopore sequencing device | -Compact and can be used anywhere with a smartphone | - Basic sequencing tasks -Rapid identification of simple genetic information |
Designed for minimal-scale sequencing and offers convenience and portability in basic research applications |
Each nanopore sequencing device offers unique advantages, allowing researchers to select the one that best fits their research needs, budget, and throughput requirements.
1. Throughput and Read Length
Throughput and read length are essential parameters to consider when selecting a nanopore sequencing device. Throughput refers to the number of DNA/RNA strands that can be sequenced simultaneously. High-throughput devices are preferable for large-scale genomic projects and population studies, while low-throughput devices might suffice for smaller-scale experiments.
Read length is another critical factor, as it determines the length of DNA or RNA fragments that can be sequenced in a single read. Longer read lengths are advantageous for de novo genome assembly and identifying structural variations, whereas shorter reads are sufficient for targeted sequencing and gene expression analysis.
2. Accuracy and Error Rate
The accuracy of nanopore sequencing has significantly improved over the years, but it still lags behind certain other sequencing technologies. Different devices have varying error rates, and this can impact the applicability of the technology for specific research purposes. High-accuracy devices are essential for clinical applications, where precision is paramount, while research-focused projects might tolerate slightly higher error rates.
3. Sample Preparation and Library Complexity
Consider the complexity and ease of sample preparation required by the sequencing device. Some devices demand more laborious library preparation protocols, making them suitable for experienced researchers. On the other hand, simplified library preparation methods can be advantageous for high-throughput applications or researchers who are new to the technology.
4. Portability and Connectivity
The portability of the nanopore sequencing device can be crucial for field-based research and point-of-care applications. Some devices are compact and battery-powered, allowing for real-time sequencing in remote locations. Additionally, consider the connectivity options of the device, as seamless data transfer and integration with downstream analysis pipelines are vital for efficient research workflows.
5. Cost and Budget
The cost of nanopore sequencing devices can vary significantly, depending on their features and capabilities. While high-end devices may offer cutting-edge performance, they might be financially prohibitive for some researchers or institutions. Evaluating your budget constraints and balancing them with the device's functionalities is essential to make a cost-effective choice.
Calculating data output for nanopore sequencing based on the number of nanopores is a useful approach to approximate the maximum value of data that each product can achieve. To do this, you need to know the number of nanopores in the sequencing device and the flow rate of bases through each nanopore per second. Here's a step-by-step guide on how to calculate data output using this method:
The flow rate is the number of bases passing through a single nanopore in one second. As mentioned in the context, the flow rate is about 400 base pairs (bp) per second.
Sequencing devices have varying numbers of nanopores. For this example, let's consider a sequencer with 512 nanopores.
To calculate the sequencing volume per second, multiply the flow rate (400 bp/s) by the number of nanopores (512):
Sequencing volume per second = 400 bp/s * 512 nanopores = 204,800 bp/s or approximately 200K.
To calculate the data output for one minute, multiply the sequencing volume per second (200K) by 60 seconds: Data output for one minute = 200,000 bp/min or approximately 12.3M (million bases).
To calculate the data output for one hour, multiply the data output for one minute (12.3M) by 60 minutes: Data output for one hour = 12.3M bases/hour or approximately 738M (million bases).
To calculate the data output for 48 hours, multiply the data output for one hour (738M) by 48 hours: Data output for 48 hours = 738M bases * 48 hours = 35.424 billion bases or approximately 35G.
It's important to note that these calculations represent the theoretical maximum data output and may not be achieved in practical scenarios due to various factors, including sample quality, experimental conditions, and instrument limitations. However, using the number of nanopores as a basis for approximation can help you compare and select the right nanopore sequencing device based on your data needs and research requirements.
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For research purposes only, not intended for personal diagnosis, clinical testing, or health assessment