Genomics

Top 5 Reasons to Automate NGS

(NGS) automation can help to overcome challenges and make NGS more efficient, accurate, and cost-effective


TOP 5 REASONS TO AUTOMATE NEXT GENERATION SEQUENCING

NGS is a powerful tool for studying genetics and genomics, but it can also be time-consuming and labor-intensive. Automation can help to overcome these challenges and make NGS more efficient, accurate, and cost-effective. Here are five reasons to automate NGS:

Increased throughput: Automated systems can process large numbers of samples at high speed, enabling researchers to analyze more data in less time. This can be particularly useful for large-scale projects or when working with a high volume of samples.

Improved accuracy: Automation can help to reduce human error and improve the accuracy of NGS data. For example, automated liquid handling systems can accurately dispense reagents and samples, which can minimize the risk of contamination or sample loss.

Reduced costs: Automation can help to reduce labor costs and improve the efficiency of NGS, which can help to lower the overall cost of the process. Automation can also help to reduce the need for manual labor, which can be expensive and time-consuming.

Consistency: Automation can help to ensure consistency in the NGS process, which is important for producing reliable and reproducible results. Automated systems can carry out the same steps in the same way every time, which can minimize variations in the data.

Scalability: Automation can help to scale up NGS to meet the increasing demand for genetic and genomic data. Automated systems can process large numbers of samples and produce high-throughput data, which can be useful for large-scale projects or for studying complex genomes.

In summary, automation of NGS can help to improve the efficiency, accuracy, and cost-effectiveness of the process, while also enabling researchers to analyze more data in less time. Automation can also help to reduce human error, increase consistency and scalability, and ensure reproducible results. It is an important step to consider for any lab looking to improve their NGS workflow.

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