Guillaume Achaz

TL;DR: This paper presents some measures of evolutionary constraints based on the similarity between accessible paths and the abundance and characteristics of “chains” of obligatory mutations, that are paths going through genotypes with a single fitter neighbor, and shows how they shed light on evolutionary constraints and predictability in experimentally resolved landscapes.

TL;DR: AGELLAN is a web-based graphical software to explore small fitness/energy landscapes through dynamic visualization and quantitative measures that can be used to explore input custom landscapes, previously published experimental landscapes or randomly generated model landscapes.

TL;DR: An algorithm to automatically and efficiently genotype microsatellites from a collection of reads sorted by individual, which can be used to genotype any microsatellite locus from any organism and has been tested on 454 pyrosequencing data of several loci from fruit flies and red deers.

TL;DR: It is shown that the cost of coding mono-SSRs greatly varies from function to function, suggesting that the strength of the selection that acts against them can be correlated to gene functions.

TL;DR: This work provides a rigorous interpretation of positive or negative values of an important class of neutrality tests in terms of the underlying tree shape and presents a new test for selection in the same class as Fay and Wu’s H and discusses its interpretation and power.