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High quality libraries are key to keeping NGS costs down and maximizing usable data. Take a closer look at how size selection can improve your NGS data quality.

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Multiplexing provides great cost savings and maximizes the amount of usable data per run, but introduces complexity to the upstream workflow and risks to data quality. Learn how to simplify the process without compromising data quality or volumes.

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In this blog we cover the fundamentals of preparing your samples for NGS, and considerations for each step. These steps include DNA extraction, amplification, library preparation, selection or purification, and quality control.

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Sample prep can have a big impact on next-generation sequencing (NGS) outcomes. Here are some simple things you can do to get your NGS off to a good start.

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