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Originally posted by Mark
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There are a lot more resources and tools for perl than python. But I don't think there is anything inherently special about perl that makes it easier to develop tools or tailor code your own functions compared to python. It all comes down to what language you know better at the end of the day I think. -
after re-reading some of perl scripts i lost hope for it and switched to python. i started with this:
Learn Python The Hard WayComment
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I think 'learning the hard way' would mean that every copy-paste example in the book had one error in it. That would teach you fairly quickly about debugging -- one of the hardest things to learn in programming (and the most valuable).Comment
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Excellent thread! Helpful for me. Keep up!Comment
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I think both are okComment
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Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.07-01-2026, 11:43 AM
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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...
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