Today we took the wraps off our new services offerings. Our services are designed to help our customers at critical stages in the evolution of their sequencing environments, those times when a little extra help can lead to a significant return on investment.

At Lab7, we’ve assembled a strong team of bioinformaticians and high-performance computing experts. Our scientists and engineers have built many sequencing informatics systems and we’ve mined our collective experience to put together service offerings that complement your existing efforts.

In addition to custom solutions and training, we have two programs that we’ve developed that leverage our deep experience to address specific needs. I’d like to use this blog post to introduce them in more detail (and explain the names, of course).


Our SeqSigma program is designed for customers who are just starting with next-generation sequencing and need an informatics roadmap that fits within their established goals and budgets. Informatics infrastructure is one of the more expensive components of your sequencing facility and there are many hardware and software options available. We know it can be difficult to select the right combinations.

With a nod towards SixSigma, our SeqSigma program uses a set of metric-based tools to develop an informatics roadmap optimized for your sequencing methods and  throughput targets. We help you understand the parameters that matter when developing a sequencing informatics system and navigate the many hardware options with you to recommend the right combination of components for your needs. Our roadmaps outline a solution that scales over time, focusing first on your 18 month goals, with expansion points at regular intervals beyond. Our goal is to give you a plan that lets you buy what you need today with the confidence you can easily scale as you grow.


Many bioinformatics pipelines that start as research projects eventually morph into production tools. Research projects, by their nature, tend to be quick and dirty implementations that get the job done. As they enter production, it’s not uncommon to simply move the research code to the production cluster and run it “as-is” (yes, I’m guilty of this). In many cases, this is fine. As throughput increases research pipelines can quickly become a bottleneck, limiting the overall turnaround time for processing samples. Of course, when this happens, the original developers are usually working on new projects and can’t be spared to speed things up.

Our DashO3 (“dash oh-three”) program is designed to help when you need more performance from your pipelines. If you have a development background, you probably already guessed where the name comes from. “-O3” is a standard compiler option that translates to: “use every technique at your disposal to make my program run fast.” We apply the same spirit to optimizing your pipelines for production. Using your existing pipelines, we leverage a collection of minimally invasive optimization methods to increase performance and meet your goals. Like using “-O3” on your individual programs, our process can often find significant performance optimizations that increase performance by 2-10x.

There’s not much magic behind our optimization processes, just years’ of experience developing and optimizing research and production pipelines.