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I work on the Semantic Scholar academic search engine, and wanted to let people know about a blog post we just put up where we combed through 7 million biomed papers and found the most-mentioned GitHub repos. The top one was Sickle, and 14 out of the top 15 were bioinformatics (the 15th was Keras, a general deep learning library). Enjoy!
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Thanks for sharing! Interesting project. -
Thanks SES! Also do you have any suggestions about the best ways to let people know about the blog? We're mostly just a bunch of computer scientists at Semantic Scholar so we don't know the field well - I literally found this forum by googling around. But if the post is worthwhile for bioinformatics specialists I would really love to spread it around a bit more. Thanks!!Comment
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You could also post this on Biostars.org using "News" category.Comment
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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
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