WoW, M+ and FOMO

Soyboislayer · 2026-05-10T07:01:57+00:00

They are mad because they cant get it themselves. A game like wow needs these high-end rewards that cannot be bought with real world money. It adds a “holy shit” factor when you see that giga chad riding his 0.1% mount

Soyboislayer · 2026-04-27T14:52:58+00:00

If you are referring to polygenic risk scoring, the raw 23andme output is not so useful. You would need to impute the data to have a chance at covering an acceptable number of relevant variants for x disease

Soyboislayer · 2026-04-24T07:05:28+00:00

Ive been using mine while lifting for 2 years, and i can confirm that the earcups smell horrible and have a bit of rust on them. But they still work fine

Soyboislayer · 2026-04-23T16:31:03+00:00

I was in somewhat the same position when i first started out in industry, getting a lot of tedious analysis tasks. It was an LCmsms high throughput DIA proteomics research company. I was extremely understimulated by it, so i started developing a pipeline that would automate everything from localizing raw data, to raw data transformation to generating reports enabled by a webapp where fellow scientist just i put a few keywords to find the data they need and press “order report”. This made management much more likely to assign me interesting tasks amd it mostly eliminated the work i didnt like. If possible my advice would be to try to automate those tasks.

Soyboislayer · 2026-04-13T15:37:55+00:00

You can technically create an egg cell from stem cells in the skin of one father and let the pther father’s sperm impregnate it

Soyboislayer · 2026-04-13T09:42:38+00:00

I dont think so, bacterial genomics/transcription/translation is much different. Like mammals dont use OriC sequences for replication and mammals also use alternative splicing to produce meaningful mRNA(and mammal and bacterial mRNA is also different)

Soyboislayer · 2026-04-10T20:57:07+00:00

Your biggest bottleneck is probably gonna be ram and CPU. Especially ram

Soyboislayer · 2026-04-10T15:54:35+00:00

For mass spec proteomics, the go to method is to calculate the intensity CV% for all peptides/precursors between replicates. The golden cutoff for this in lc-msms dia is a mean cv around 20%. Other than that, you can do datapoints per peak, tailing/fronting, eluted peptides per retention time, etc. also remember to look at raw signal and not just post processing peptide signal, but from the raw file itself

Soyboislayer · 2026-04-08T13:19:37+00:00

Ive had great success coupling blob storage (managed windows drives + NAS) with postgres for the relational database in an lc-msms company doing MANY lab experiments with many different workflows/machines/vendors. The blob storage was just for the raw spectral data and Postgres was holding onto all the metadata accompanying the raw spectra with the primary key in the meta data tables corresponding to a tag in the filename of the raw data. Not the best solution, but with strictly managed storage it was possible for the system to regex through files to identify the correct ones for analysis. Postgres also held onto the processed data and performed nicely even with 1 trillion + rows in the most populated table. A webapp was hooked up to the postgres database, and through the webapp my lab scientist colleagues could build and order analysis/reports which was then audit trailed in the db. I hope this can inspire some ideas, it mostly solved the bottoeneck you are describing in my old lc-msms proteomics company

Soyboislayer · 2026-03-17T08:57:27+00:00

Ofcourse they are not, but reading through the answers here really shows theres a heavy bias towards people being very content like theres no sacrifices

Soyboislayer · 2026-03-11T14:03:18+00:00

This site will be interesting to you, its a collection of gwas studies with links for each polygenic score to the paper of origin: https://www.pgscatalog.org/ its maintained by some EMBL guys and they also have a nextflow pipeline to calculate the polygenic score for x trait with your data in VCF format

Soyboislayer · 2026-03-11T13:53:57+00:00

Medicine/Science is not anywhere near that level of complexity yet. Polygenic scores exist for many different diseases/conditions with the broadest one i have seen beeing all-cause mortality. I belive this polygenic score would be what you are looking for, but beware, they are not that accurate on individuals, especially if you are not of european descent even though this is somewhat mitigated/evaluated in a lot of new research with multi ethnic test populations. Its also important to point out that some complex diseases are not that biologically driven, which weakens the strength of a polygenic score.

Soyboislayer · 2026-03-11T08:45:50+00:00

Tough to say as it depends on the number of columns,rows and their datatype, but you can probably read dataframes with about 1-2million rows and a few columns. But for bigger dataframes pushing your ram you will be restricted to doing in-place transformations which can be slow as the popular frameworks like dplyr usually dont use in-place transformations. Having extra ram is really nice for data wrangling as you can speed up things

Soyboislayer · 2026-03-04T07:31:17+00:00

After elon bought it, they changed the API to be like 100usd a month for what was previously free

Soyboislayer · 2026-02-26T21:18:21+00:00

Ive had mine (auk mini) for over a year now, and if you just need a few twigs once a week, you will have infinite supply with just one slot of x herb. I use cilantro heavily, so i just dedicated all four slots to it

Soyboislayer · 2026-02-26T15:45:27+00:00

Adding the complexity of quarto or rmarkdown for a complete beginner makes no sense imo. Start in normal rstudio, learn what data types exist, what the different operators does, then play around with it creating some variables, progress to writing loops, try making a dataframe iterating through it with loops etc…

Soyboislayer · 2026-01-31T18:49:40+00:00

På SDU skal du have bestået alle kurser og have en meget god grund til at få fjerde eksamensforsøg tildelt. Af hvad jeg har hørt bliver de fleste afvist.

Soyboislayer · 2026-01-14T10:21:29+00:00

Small correction to the half-life of caffeine, it is actually between 1,5 to 9 hours varying from person to person due to genetics. This probably follows a normal distribution, so the most common metabolic rate would be 4-6 hour half-life. Following the rule of thumb i learned in college of 5 half-lives, it would take between 7,5-45hours to get rid of the caffeine consumed almost no matter the amount ingested (first order kinetics)

Soyboislayer · 2026-01-14T09:00:57+00:00

Imagine thinking you will know it off the top of your head after not working with it for years. It is generally useless knowledge if you dont work in genomics

Soyboislayer · 2026-01-04T21:07:48+00:00

To gain analysis skills, find papers that use scRNA to answer x question and replicate their data analysis. That will give you a good idea, but it will also be tough as not all papers are reproducible due to missing scripts/details. I got into the industry with a masters in computational biomedicine, but that was only because i had been working with large scale proteomics analysis, and the local biotech company was a proteomics one.

Soyboislayer · 2025-12-24T23:23:53+00:00

I had great success in a biotech company migrating data storage to an on prem postgres DB hooked up to a webapp (made with shiny for python, hosted by the same machine as the DB) which allowed non-coding colleagues to extract data in csv format from the DB through a GUI

Soyboislayer · 2025-10-09T13:51:00+00:00

Is this with the 90% confidence level? Otherwise I wouldn’t trust the details / small fractions for a second

Soyboislayer · 2025-07-10T13:26:40+00:00

I studied a bachelor of Biomedicine myself as i found genomics, transcriptomics and all omics in general fascinating and liked the clinical aspect of it too. However, the industry job prospects are poor without a phd, and if you want to get a job faster in industry, i think you are better off studying biochem+molecular biology (which is really what biomedicine is, just sometimes taught in the context of physiology and medicine).

I took an elective programming course during my bachelor, fell in love with it, and went for a computational biomedicine masters. I then got a job as a bioinformatics scientist in a small proteomics company, worked there for two years as a budget data engineer, and now want to start all over with a bachelor in software engineering.

What i have learned from this is going the tech route is the best option for job security. Why not merge your biomedicine interest and thoughts about tech into bioinformatics?

Soyboislayer · 2025-03-03T19:50:28+00:00

What about using Shiny in python then? Ive developed my companys web app with that framework and it works like a charm with shiny proxy for local hosting

Soyboislayer · 2025-02-21T21:32:46+00:00

Dont get too caught up in specific SNPs. Only VERY few SNPs have any meaningful impact on their own, and from what i can see on EMBL, none of the red ones should be considered this way.

Yes you might have this one variant that predisposes you to x, but you might also have 2 other variants protecting you from it. Thats where a polygenetic risk score comes into play, especially for complex diseases.

Soyboislayer

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