so A. seems like within a population there will probably a relatively (compared to SNPs especially) small number of consistently-appearing longer segments across generations, especially if some loci are quite a lot more likely to be the site of crossing over than others?
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B. if you can identify these groups you might have a better time using them as features (vs SNPs) especially given eg role of introns in the regulation of expression?
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C. Seems like you could deduce the traits of (successful) founders of populations from these traits a la linguistic archaeology?
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I have no idea what I'm talking about
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eigenrobot Retweeted Arguably Wrong
OHOHOHOHO looks like ive just reinvented something (badly) again just like that time i worked myself up to reinventing shitty cryptographic hashes someday its gonna be something Newhttps://twitter.com/arguablywrong/status/1202803515782914048?s=19 …
eigenrobot added,
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Replying to @eigenrobot
yeah when you were talking about simulating offspring the other day I was wondering about phasing but then I saw that 23andMe can phase your data if you have family members in their database so I assumed you had that data
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Replying to @halvorz @eigenrobot
see also: https://en.wikipedia.org/wiki/Identity_by_descent … which is how this sweet fig was madepic.twitter.com/YcaMHZGXYJ
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Replying to @halvorz
Oh man that software section is sexy I really am coming at this fairly naive, haven't take a bio class since 2007(?) and uh things seem to have Progressed
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Replying to @halvorz
do you have a link to the 23andMe phasing deets? Trying to figure out the easiest way of managing this for
@selentelechia, wonder if going with her paternal grandpatents would suffice in place of her bio dad1 reply 0 retweets 1 like
Nm found it!
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