genomes

This means that we would need to spin up a lot more servers to handle parallel requests, especially with different genomes.

Could you diff a healthy genome and several cancerous genomes and come up with the offending commit?

Plants have really really complex genomes, and there isn't the research interest to improve the references.

And more to the point, an algorithm knowing something about the structure of genomes might wind-up with even less time.

They will have their genomes sequenced, as will the frozen remains of 12 more rhinos.

The blog post comparison of the resultant 'genomes' of network weights seem to show that the space has been searched exhaustively.

This process generally works quite well in most microbes with small genomes (E.

Imputation from thousand genomes should be good for finding low-frequency (>1% MAF) variants.

Then research how many individual genomes from that species you can get.

I suppose you could swap genomes in and out of memory as they're accessed, but again it's more complex to manage resources.

Gamifcation is being used to help decipher complex genomes etc.

> that’s disappointing, since a computer running the existing algorithm would take 1,000 years to exhaustively compare two human genomes.

A classic "second wave" bioinformatic analysis uses two reference genomes, and a sequenced population of individuals from one of the two species.

It seems relevant to start talking about approximation algorithms as the next step after proving a "1000 year" runtime for exactly comparing genomes.

Now that "next-gen" sequencing (worst buzzword ever) has brought down costs, the thousand genomes project will provide us with a list of nearly all variants with MAF>1%.

For example, using the edit distance to compare genomes makes an assumption that insertions, deletions, and substitutions "cost" the same amount, but the reality is far more complicated due to the mechanics of how mutations actually happen.