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/sci/ - Science & Math

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4260910 No.4260910 [Reply] [Original]

Hey /sci/.

I'm currently studying genetics and am looking to become a genetic engineer (I know, bio != science and whatever but bear with me) but I also am really interested in computer sciences, as I feel those two fields could really work well together. Obviously, becoming both would be really difficult, but I'm willing to study for any number of years. Does /sci/ have any idea of how I could accomplish this?

tl;dr is it possible to become a genetics/comp sci polymath and if so, how do I do it?

pic unrelated

>> No.4260915

Racist

>> No.4260922

bioninformatics

>> No.4260924

>>4260922
* bioinformatics

I can't spell tonight.

>> No.4260931

>studying genetics and looking to become a genetic engineer
>never heard of bioinformatics

pick one

>> No.4260955

+1 to bioinformatics

>> No.4260969
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4260969

>(I know, bio != science and whatever but bear with me)

The idea that biology isn't a hard science is troll shit and you just bought into it somehow.

>> No.4260983
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4260983

>>4260969
>troll shit
no, it legitimately isn't a hard science.

>> No.4261027

OP here. I've heard of bioinformatics, but I thought it was a more general thing. Can I do genetic engineering as a part of bioinformatics?

>> No.4261041

>>4260983
biology isn't rigorous? interesting, that runs contrary to all the biology i've learned in four years of college.

>> No.4261046

>>4261041
>rote memorization
>no math involved

You call that rigorous?

>> No.4261054

>>4261041
>biology is rigorous? interesting, that runs contrary to all the parts of a plant i memorized in 4 years of college

>> No.4261064

>>4260924
lets try again tomorrow

>> No.4261080

Bioinformatics is the way to go. It's a subfield of biology that uses algorithmic/statistical approaches to characterize genomic data. You know all those phylogenetic trees you see in ecology literature, and many (not all) of the 3D protein structures you see in biochemistry textbooks? You can thank bioinformatics for that.

Unfortunately, some of the common hypotheses generated by bioinformatics are untestable (e.g., evolutionary relationships). Other hypotheses, such as the positions of genes in genomes or ligand binding sites in amino acid sequences, are highly testable.

>> No.4261085

OP's picture is sexist.

>> No.4261098

>>4261046
>neural networks, population genetics, evolutionary game theory, markovian models of phylogeny, biomolecule structure inference, cardiac output, electrophysiology, etc....

Just a few examples of quantitative biology I can think of. And if you're interested in characterizing an entire academic discipline based on a subset of it's undergraduate classes, I'll use an argument of the same form and link you to Ivy League quantitative biology programs.

>> No.4261103

So is this biology != hard science thing a permanent meme? Cause... it's getting old and I've only visiting /sci/ for a week.

>> No.4263289

>>4261085
>>4261085
>>4261085