A list of puns related to "Allele Frequency Spectrum"
This actually isn't a homework question, I need it for my job lol.
I have a gene that deleted with an allele frequency of 3%. Assuming Hardy Weinberg, I want to know how many out 1000 people would have at least one deleted allele.
This is what I try:
p^2 + 2pq + q^2 = 1000
p^2 + 2(.03)(.03) + .03^2 = 1000
p^2 = 1000 - 2(.03)(.03) + .03^2
I seriously have no idea :(, any help is appreciated.
Intuitively it seems like the number of ppl would be ~6% of 1000, but im not sure
(2 * .03) * 1000 + (.03 * .03 * 1000) ?
Like wtf? The whole problem didnβt even have a number thatβs related to allele frequency.
In particular I am referring to the apple maggot fly and its original, still-extant ancestors that only feed on hawthorns.
I know that a producer should try to make the spectrum as wide as possible but I think I'm overthinking it lately. I mean should this rule be applied everytime and even if there are some "instrument solo" parts add some white noise or a pad or something or are there any exceptions?
Can someone explain why there needs to be a roughly equal distribution of allele frequencies when looking at DNA for forensics and paternity cases?
For years audiophiles have struggled to resolve their audio's deplaneration and subattenuation without also introducing distal noise redundancy or unnecessary quavering into the proattenuated frequency spectra.
The solution, as was recently discovered, is introducing a translateral spectrum decoupler between the unipolar phase rectifiers and the wave guide amplification unit (If you have tripolar phase rectifiers you're out of luck), this resulted in a 37% reduction in deplaneration and a 27% increase in intraaural dopaminergic activity vis a vis improved neuronal interlocation and focal rectificance.
Since I added a TSD to my setup I've noticed a marked drop in sinusoidal fault interrupts and much more transparent spectrum frequency saturation, I'd say the mod bumped my HD58X from a seven on the Smithson/Marzle scale to at least a three, maybe even a two! Plus I haven't experienced side fumbling in months (I think it's due to the improved torsion distribution and remodulated volumization capacitance, but I could be wrong.) To think some people spend thousands of dollars to address their headphone's deplaneration and subattenuation when all it took me was an afternoon and a gram of nonchromatic flux inhibitor, now Netflix has never sounded better!
Honestly it's a mod I think everyone should try, I hope this was helpful!
Please note that installing a translateral spectrum decoupler without initially flushing your frequency capacitors could result in full or partial scapular grinding, so make sure to wear untextured rubber gloves when you install it.^1 (We don't want another Valikov incident, do we? LMAO! π€£ But seriously, my thoughts and prayers go out to her family.)
^([1: Waffleman, Shuster, & Dane et al, .ed])
This might be a little hard to describe. When altering sounds or entire groups of elements to eliminate extraneous noise, fit with other elements, etc, I find myself creating a mix that sounds almost "too smooth" or dull, or maybe just kinda boring, and in listening I think I've realized the problem is that, after maybe 10-20 minutes of listening and working with a mix, my ears kinda compensate and I begin getting into a hole of consistently cutting possibly too much high end simply because I hear, for example with a string plugin, some noise from when the samples were recorded, or with a piano plugin, I may hear some clicking from the environment when the key is pressed, and I typically cut that because, if I pay attention too much, those mid-higher frequencies annoy me to no end. I'm not sure why. It's almost like a dog reacts to very high pitches from a dog whistle. I've listened to other songs and realize that they often keep in the air and noise, and it sounds better, but if I listen for it specifically, it will start grating at my ears and I won't be able to unhear noise from an amp etc.
Anybody else have this problem where a certain frequency range just does not agree with their brain? How do you get past it?
Just curious as to whether we are able to measure this at a meaningful rate, and if so, which is changing fastest.
Not defending the holocaust btw just saying
Hi everyone! Basically I have 40 whole genome sequences and I want to come up with a way that I can calculate the allele frequencies of the variants within these individuals within this small cohort. Of course I can look in gnomAD to check allele frequency of the variants on a broader scale but I want the allele frequency to be specific to my small cohort and itβs unique genetic architecture.
I am quite new to bioinformatics so sorry if I donβt understand some of the concepts. As an end result I would like to create a site like gnomAD but just for mine (and my labs) use so that going forward if we identify a new variant we can check the allele frequency in our specific country (our country does not have a public genomics database like gnomAD).
I know 40 whole genomes is a very small number but itβs just a starting point and the hope is that we can increase the numbers in the future.
Any help/starting points would be hugely appreciated.
Thanks!
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