The complete sequence of a human Y chromosome

Post by panosfilianos » Fri, Aug 25, 2023, 6:05 AM UTC

asielen wrote: post #91

panosfilianos wrote: post #72

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I have spent the better part of the past year looking obsessively over genomics papers for cancer and I've grown very fond of the field. Are there any positions at Google/ companies you wold suggest me to look into? I'm coming from algortrading/ ML research with ML MSc.

You could try Calico. They are an Alphabet company that specifically studies aging. There how a good amount of machine learning roles. However biotech typically pays less than finance or software. https://calicolabs.com/careers/

Post by krab » Fri, Aug 25, 2023, 6:10 AM UTC

alexchantavy wrote: post #43

dekhn wrote: post #38

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If you think like an ML engineer, the genome is a feature vector 3B bases (or 6B binary bits) long that is highly redundant (many sections contain repeats and other regions that are correlated to other regions), and the mapping between that feature vector and an individual's specific properties (their "phenotype", which could be their height at full maturity, or their eye color, or hair properties, or propensity to d…

Fascinating, are there lots of people looking at genetics with this ML kind of lens?

Post by jacquesm » Fri, Aug 25, 2023, 6:15 AM UTC

jfoutz wrote: post #68

dekhn wrote: post #63

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Lincoln Stein is great, and perl was certainly critical to many processes, but it was and remains fairly niche in genomics, which used much more C++, Java, and later Python. IMHO the person who "saved the genome project" was WJ Kent, who developed the assembler, BLAT, that the public project needed. I strive to point out that he wasn't a sole hero, nor was Lincoln. What I really like about BLAT is that while Celera w…

I know hn isn't the place for memes, but, I'm obligated. Imagine what they could do with a beowulf cluster of pentium pros?

Post by renewiltord » Fri, Aug 25, 2023, 6:16 AM UTC

Post by benignslime » Fri, Aug 25, 2023, 6:18 AM UTC

dclowd9901 wrote: post #85

jiggawatts wrote: post #13

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Many genes are highly conserved or consistent enough. E.g.: if there's a 1% difference between two people, then it's a bit like two very unique sentences that have a couple of small typos. They're sill recognisable, and it's also still pretty obvious that they're the "same". A gene sequence allows researchers to determine the amino acids that are coded for, and from those, which proteins match which genes. This can b…

But you can only know that by having a large sample of very “stable” (have few genetic irregularities) gene samples compared to a large pool of samples from people with very narrow and pronounced gene irregularities, right? Is this why it’s so hard? This feels more like a healthcare records keeping people and less like an “actually reading the data problem”. I can’t help but feel like some form of single payer health…