DFE-alpha was initially written to estimate the distribution of fitness effects (DFE) of new deleterious mutations using within-species nucleotide polymorphism data. It was subsequently extended to estimate the rate of adaptive molecular evolution, and then to infer the rate and fitness effects of advantageous mutations. The DFE is estimated by maximum likelihood (ML) based on site frequency spectra (SFSs) for two sets of nucleotide sites, one set assumed to be subject to mutation, selection and genetic drift and the other set of sites assumed to be evolving neutrally. The DFE is assumed to be a gamma distribution with shape parameter beta (β), or a model in which all mutations have equal effects can be run. The mean mutational effect is estimated on a scale Nes, where Ne is a measure of the recent effective population size and s is the selection strength acting on a new mutation.

Project Activity

See All Activity >

Follow DFE-alpha

DFE-alpha Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DFE-alpha!

Additional Project Details

Registered

2022-05-26