SeqGen is Now ISO 9001:2015 Certified

21 February 2017

There’s been a lot going on here at SeqGen recently. In addition to introducing our Next-Gen Sequencing Division, we’ve also been working on some internal processes to increase the efficiency of our service. And last month, all of our hard work was recognized when we received our International Organization for Standardization (ISO) 9001:2015 certification.

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Re-Purposing Your Old Polymer

15 February 2017

We all know that the reagents for your sequencers and qPCR machines aren’t cheap, so of course everyone is looking for any and every way to save on these supplies. With a bottle of polymer costing a few hundred dollars, you learn quickly that it is not to be wasted. Luckily, some very bright people work with these machines every day and they’ve come up with some ingenious ways to get the most out of your polymer.

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Is It Time for Your 3500 Genetic Analyzer's PM?

08 February 2017

With everything that goes on in the lab throughout the day, it’s easy to forget about routine maintenance and taking care of your machine. As with any piece of specialized equipment, you’re going to have wear and tear that causes a need for regular service. Without it, you’re risking unnecessary damage to your equipment and inaccurate sample runs.

If you have a coverage plan from SeqGen, you’ll receive one preventative maintenance visit per year, and just in case you forget about it, we’ll send you a reminder. We recommend that you let the professionals give your machine some tender love and care at least once a year, but in between service visits there are a few things you can do to prolong the life of your machine.

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Optimizing MiSeq Library Cluster Density

02 February 2017

If you’ve been using your MiSeq for any length of time, you know that cluster density is a crucial part of NGS to generate the best and most data possible. Under-clustering and over-clustering your data will result in similar errors since your machine will not be able to find the best cluster focus in either case. In order to get the most data possible out of each of your runs, you’ll need to find your “sweet spot” to get the most usable data.

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