There is no doubt that well-managed commercial software platforms can be costly from a licensing standpoint. Therefore, many labs elect to build their own data management and provenance systems. However, the teams tasked with developing these tools almost never include the head of the laboratory, who is the single[...]
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Posted in Big Data, Bioinformatics, Education, White Paper
The democratization of data-intensive technologies such as next-generation sequencing, mass spec-driven multi-omics workflows, and high-resolution imaging systems is making bioinformatic analysis a required function. In the vast majority of labs, a dedicated staff of highly trained computer scientists handles[...]
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After reading our previous posts on inefficiency, you might be thinking, “I have a LIMS that takes care of transitioning from the wet lab to analysis for me.” While it is true that you have a LIMS in place, can you think of any LIMS that manages data through bioinformatics and reporting, while maintaining provenance[...]
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As mentioned in our previous blog post, Stop Managing Your Instruments and Software Platforms Independently, scientific labs are resorting to using a variety of manual methods for data management and collation. As a result, labs often experience poor record keeping regarding the “who, what, when, where, and how” of[...]
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We thought that we'd use these middle-of-summer weeks to revisit one of our earlier topics. In this case, it's the first of the list of salient items from our our "Five Strategies to Improve the Efficiency of Your Lab" white paper...
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The latest installment of our blog posts on the Lab7 Systems team features our Principal Software Engineer, John Eargle, Ph.D. John was the 4th Lab7ite, having joined about 3 months after the company was founded. Since then, John has toiled away making sure that the Enterprise Science Platform (ESP) not only performs[...]
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With data intensive applications becoming more common in the life sciences, I'm often asked for advice on how to prepare for a career in bioinformatics or transition an existing career to focus on life science applications. A few years back, I responded to a post on Slashdot with some thoughts on bioinformatics career[...]
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