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Before I start working on this, does anyone have a tool that identifies which build a set of gene coordinates belongs to from among the human genome builds? I have run into several papers where the authors do not identify the build, and it is clearly not the latest. The idea would be to take a large sample of the coordinates of unknown build and screen them against the last X number of builds to find 100% exact matches. Once known, then the data can easily be lifted from build to build using Galaxy.
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Professor of Pharmaceutical Sciences at Southern Illinois University. Subject of the Personal Genomes Project with CGI genome sequencing, funded by a university seed grant. Annotated human and mouse genomes at the Washington University (St. Louis) GSC during Bob Waterston's tenure. Worked in nematode gene discovery at Divergence, Inc. Recent NSF grant in yeast recombinant genetics. Teach pharmacogenomics, human genomics and pharmaceutical biotechnology.
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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...06-18-2026, 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