> 9Front And Surprise Auschwitz
What the actual fuck. At first I thought this was some joke in poor taste by the blog post, but in fact he is referring to the use of Nazi death camp imagery in the documentation. That's not cool.
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What the actual fuck. At first I thought this was some joke in poor taste by the blog post, but in fact he is referring to the use of Nazi death camp imagery in the documentation. That's not cool.
No.
> I don't know any professors who don't also have tenure - that seems a contradiction in terms to me.
Assistant professors generally do not have tenure, and at some institutions being an associate professor or full professor is no guarantee either.
> But if you don't know what I mean we're probably talking about different things and possibly talking at cross-purposes.
I know what you mean; you're just incorrect and spreading misinformation based on your limited experience.
The biggest worry for most professors I talk to in grant-funded fields (which is most of the natural sciences and engineering) is not getting grant funding and having to lay off some or all members of our research group. In Canada, biomedical grant application success rates are around 14% so this is a pretty big worry.
People who are pre-tenure or in organizational units where there is no tenure (which includes a lot of medical researchers) also have to worry about losing their job.
In the U.S., very few professors can get paid their whole 12-month salary without getting some grant funding to pay for it. Some universities will commit 75% of the professor's salary as "hard money"—these are the ones with the bigger teaching loads. Others will provide only 5% of the salary and expect the professor to get the rest through grant funding. If you can't do it, expect to get a pay cut or lose your job. This is the prevailing model at elite medical research institutions like Harvard Medical School, Johns Hopkins School of Medicine, or University of California, San Francisco.
(I know this because I have the PubPeer extension installed which puts a big red warning by it.)
https://devblogs.microsoft.com/oldnewthing/20030816-00/?p=42...
Even Bill Gates did this:
https://devblogs.microsoft.com/oldnewthing/20091123-00/?p=15...
Two PhDs that don't speak the same language isn't a great solution, but one PhD who is a jack-of-both-trades isn't the only alternative either. I feel like I've done well with alternating collaborations with biologists who don't have a computational focus, and quantitative methods folks who don't necessarily have a focus in genomics (what we work on).
Not disagreeing with the rest of this, but I love Pocket.
Each human started with between 1 and 5 copies of the X chromosome. Those copies are different in various ways. Many of the differences are single nucleotide variation, identical in a region but with a single letter changed. There are also tandem repeats where there might be a CAG sequence that occurs one or dozens of times. (Counting the number of repeats like this is often used for DNA fingerprinting.) There is also ample larger-scale structural variation, which includes whole regions of the genome present present or absent in one copy or another, or maybe copied multiple times in a row, or moved in from another chromosome, or reversed.
Complicated enough? On top of that you have to add the fact that there are trillions of cells in each human and in those trillions of cells you will have many slightly different copies of the original 1 to 5 X chromosomes from when that human was a single-cell organism. You will definitely have changes at the ends of the chromosomes, the telomeres, as they are made up of variable tandem repeats. You'll also have single nucleotide mutations, and if you're unlucky, bigger changes. On some chromosomes (not chromosome X), there's also V(D)J recombination, where our immune "memory" is actually encoded in changes to genome sequence in particular cells. Cancer or a pre-cancerous syndrome will increase the frequency and severity of these changes.
If you want to sequence a whole chromosome you have to contend with the fact that the most accurate methods for sequencing generally give you reads of 1000 nucleotides or less each and you have to assemble them together. People liken the problem to putting together a jigsaw puzzle, but it's not like assembling a jigsaw puzzle from a single box. It's more like taking hundreds of boxes of supposedly the same jigsaw puzzle (but in reality some small changes that make things fit together not quite right), dumping them all in a pile, randomly removing a bunch of them, and then trying to figure out how everything fits together. Also there are many parts of this puzzle with identical artwork and that fit together identically! Good luck!
Scientists have been applying a lot of ingenuity to this puzzle for decades and getting a whole chromosome assembly like this is a big milestone.
Then there is the matter of MDPI creating deceptive journal titles like _Cells_ which surely is often confused with the incredibly prestigious journal _Cell_.
Anyway, caveat lector.
https://chocolatey.org/docs/helpers-install-chocolatey-packa...
Having something like YAML seems cleaner than the Chocolatey approach, but there are almost 8,000 Chocolatey packages and it works pretty well. Implementation > architecture here.