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Hey guys, I'm a newbie to bioinformatics and still doing an undergrad. But I really needed help with something and hope you guys can. I am designing an expression vector using APE and needed to know about how to engineer the ribosome binding site into it. I'm sorry if this is a really dumb question but like I said, complete newbie.
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For this exercise you may want to resort to a low tech (pen and paper/talking this through with someone in person) method. Especially if you are new to informatics and do not have adequate biology background. Only you know what kind resources (vectors/fragments/enzymes) are available in the lab you are working in and unless you provide a lot of additional information it may not be possible for folks here to help.
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I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...Today, 07:11 AM -
Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.
The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
...06-02-2026, 10:05 AM -
With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.
Introduction
Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...05-22-2026, 06:42 AM
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