Back to search

Article

Minimal-assumption inference from population-genomic data

2016-10-31

Abstract excerpt

Samples of multiple complete genome sequences contain vast amounts of information about the evolutionary history of populations, much of it in the associations among polymorphisms at different loci. Current methods that take advantage of this linkage information rely on models of recombination and coalescence, limiting the sample sizes and populations that they can analyze. We introduce a method, Minimal-Assumptio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7feb58ff-97ed-5c9c-a2f4-6028d1de3bae
DOI
10.1101/084459
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Minimal-assumption inference from population-genomic dataDOI 10.1101/084459
Select a neighboring publication to make it the new centre.