[go: up one dir, main page]

  • 0 Posts
  • 228 Comments
Joined 3 years ago
cake
Cake day: July 14th, 2023

help-circle
  • If you’re not that worried about storage then you can just make copies if necessary, then you don’t really have to worry about permissions (apart from read, which is typically default for the same group). But yea if there’s any chance more than 1 person might work off the same copy of data on HPC, make it read only for the peace of mind. Regarding conda envs, yea I have a few common read only conda environments so that scripts can be used by multiple users without the hassle of ensuring everyone has the same env. Quite useful.


  • I’m in a similar position as you. Our lab has a partition on HPC but i need a way to quasi-administrate other lab members without truly having root access. What I found works is to have a shared bashrc script (which also contains useful common aliases and env variables) and get all your users to source it (in their own bashrc files). Set the umask within the shared bashrc file. Set certain folders to read only (for common references, e.g. genomes) if you don’t want people messing with shares resources. However, I’ve found that it’s only worth trying to admin shared resources and large datasets, otherwise let everyone junk their home folder with their own analyses. If the home folder is size limited, create a user’s folder in the scratch partition and let people store their junk there however they want. Just routinely check that nobody is abusing your storage quota.

    EDIT: absolutely under no circumstances give people write access to raw shared data on hpc. I guarantee some idiot will edit it and mess it up for everyone. If people need to rename files they can learn how to symlink them.


  • I’ve recently gotten back into reading as a way to wind down before bed without using the phone, and it has done wonders for my sleep. Pair it with a kobo ereader and downloading, uh, free books means there’s no pressure to read books you don’t enjoy (I find with physical books they tend to loom at you from the shelf and make you feel guilty for not reading, which only makes things worse).

    Anyway to get to the point reading can be a very low investment hobby if you want it to be.




  • More a reflection of people’s attention spans these days compared to when the movie is released. Read any online discussion about media and it seems like people are on their phones for 40% of the show at minimum.

    Hell the original film would probably not do well if released today because it doesn’t have the obvious shoehorned plot points that the new movies have to cut through the morons.









  • blackbirdbiryani@lemmy.worldtoScience Memes@mander.xyz🐇 🐇 🐇
    link
    fedilink
    English
    arrow-up
    14
    arrow-down
    2
    ·
    10 months ago

    Maybe a lukewarm take now, but you can no longer expect to succeed well in biology if you don’t have at least an intermediate understanding of programming and statistics.

    Without the former, you are going to be wasting a lot of time doing manual work (I kid you not but I see my co-workers waste literal hours gazing at matrices in Excel like they’re gonna land on a significant gene by accident).

    Without the latter, you are going to be wasting thousands of dollars in reagents and working time running experiments that never had the hope of succeeding (what do you mean I need more than one replicate?).

    Yes you can stick to lab work but don’t expect to get paid more than the average janitor, because you’re competing against literal thousands of graduates who can use a pipette but not R. Maybe if you were a specialist in an expensive niche equipment like flow cytometry or mass spectrometry, but surprise surprise, these kind of equipment require an even more advance understanding of statistics to understand/process the results.

    If you’re a biologist who thinks you hate math, I promise you programming is more approachable than high school math, there’s so many tutorials available these days for free that are leagues better than any material from your professor.

    Try to get as many opportunities that involve command line work on clusters, analyses with R, and maybe python as well, and you’d be a candidate that would stick above the rest. Programming and statistics is rapidly becoming a common competency, and if you don’t have those skills you won’t be able to compete with people who do.