Deriving dispersal distances from genetic data

Flexible methods for estimating genetic distances from nucleotide data

• With the increasing use of massively parallel sequencing approaches in evolutionary biology, the need for fast and accurate methods suitable to investigate genetic structure and evolutionary history are more important than ever. We propose new distance measures for estimating genetic distances between individuals when allelic variation, gene dosage and recombination could compromise standard ...

Genealogical trees from genetic distances

Abstract In a population with haploid reproduction any individual has a single parent in the previous generation. If all genealogical distances among pairs of individuals (generations from the closest common ancestor) are known it is possible to exactly reconstruct their genealogical tree. Unfortunately, in most cases, genealogical distances are unknown and only genetic distances are available....

Estimating dispersal kernels using genetic parentage data

Affiliations 1. Phone: +61 4 14 108 439. CC-BY 4.0 International license not peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was. Abstract Dispersal kernels are the standard method for describing and predicting the relationship between dispersal strength and distance. Statistically-fitted dispersal kernels allow observations of a l...

Deriving Meaning From the Data

Deriving Queries from Results Using Genetic Programming

This paper centers on the problem of finding commonalities for a set of objects belonging to an object-oriented database. In our approach, commonalities within a set of objects are described by object-oriented queries that compute this set of objects. The paper discusses the architecture of a knowledge discovery system, called MASSON, which employs genetic programming to find such queries. We a...