Results 111 to 120 of about 55,446 (204)

A Guide for Developing Demo‐Genetic Models to Simulate Genetic Rescue

open access: yesEvolutionary Applications, Volume 18, Issue 5, May 2025.
ABSTRACT Genetic rescue is a conservation management strategy that reduces the negative effects of genetic drift and inbreeding in small and isolated populations. However, such populations might already be vulnerable to random fluctuations in growth rates (demographic stochasticity).
Julian E. Beaman   +8 more
wiley   +1 more source

Performance analysis of novel methods for detecting epistasis

open access: yesBMC Bioinformatics, 2011
Background Epistasis is recognized fundamentally important for understanding the mechanism of disease-causing genetic variation. Though many novel methods for detecting epistasis have been proposed, few studies focus on their comparison.
Shang Junliang   +5 more
doaj   +1 more source

Loss of least-loaded class in asexual populations due to drift and epistasis [PDF]

open access: yesGenetics 179, 2125 (2008), 2008
We consider the dynamics of a non-recombining haploid population of finite size which accumulates deleterious mutations irreversibly. This ratchet like process occurs at a finite speed in the absence of epistasis, but it has been suggested that synergistic epistasis can halt the ratchet. Using a diffusion theory, we find explicit analytical expressions
arxiv  

Reconstructability Analysis of Epistasis

open access: yesAnnals of Human Genetics, 2010
The literature on epistasis describes various methods to detect epistatic interactions and to classify different types of epistasis. Reconstructability analysis (RA) has recently been used to detect epistasis in genomic data. This paper shows that RA offers a classification of types of epistasis at three levels of resolution (variable-based models ...
openaire   +5 more sources

The relation between alignment covariance and background-averaged epistasis [PDF]

open access: yesarXiv, 2017
Epistasis, or the context-dependence of the effects of mutations, limits our ability to predict the functional impact of combinations of mutations, and ultimately our ability to predict evolutionary trajectories. Information about the context-dependence of mutations can essentially be obtained in two ways: First, by experimental measurement the ...
arxiv  

Biophysical inference of epistasis and the effects of mutations on protein stability and function [PDF]

open access: yes, 2018
Understanding the relationship between protein sequence, function, and stability is a fundamental problem in biology. While high-throughput methods have produced large numbers of sequence-function pairs, functional assays do not distinguish whether mutations directly affect function or are destabilizing the protein.
arxiv   +1 more source

Higher order epistasis and fitness peaks [PDF]

open access: yesarXiv, 2017
We show that higher order epistasis has a substantial impact on evolutionary dynamics by analyzing peaks in the fitness landscapes. There are 193,270,310 fitness graphs, or cube orientations, for 4-locus systems, distributed on 511, 863 isomorphism classes. We identify all fitness graphs with 6 or more peaks.
arxiv  

Testing the Domino Theory of Gene Loss in Buchnera aphidicola: The Relevance of Epistatic Interactions

open access: yesLife, 2018
The domino theory of gene loss states that when some particular gene loses its function and cripples a cellular function, selection will relax in all functionally related genes, which may allow for the non-functionalization and loss of these genes.
David J. Martínez-Cano   +3 more
doaj   +1 more source

Sign Epistasis and the Geometry of Interactions [PDF]

open access: yesarXiv, 2018
Approaches to gene interactions based on sign epistasis have been highly influential in recent time. Sign epistasis is useful for relating local and global properties of fitness landscapes, as well as for analyzing evolutionary trajectories and constraints.
arxiv  

EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection [PDF]

open access: yesarXiv, 2018
Epistasis (gene-gene interaction) is crucial to predicting genetic disease. Our work tackles the computational challenges faced by previous works in epistasis detection by modeling it as a one-step Markov Decision Process where the state is genome data, the actions are the interacted genes, and the reward is an interaction measurement for the selected ...
arxiv  

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