Results 31 to 40 of about 5,512,789 (304)

Epidemiological and Genomic Analysis of SARS-CoV-2 in 10 Patients From a Mid-Sized City Outside of Hubei, China in the Early Phase of the COVID-19 Outbreak

Frontiers in Public Health, 2020
A novel coronavirus known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing Coronavirus Disease 2019 (COVID-19) pandemic.
Jinkun Chen, Evann E. Hilt, Fan Li, Huan Wu, Zhuojing Jiang, Qinchao Zhang, Jiling Wang, Yifang Wang, Ziqin Li, Jialiang Tang, Shangxin Yang, Shangxin Yang   +11 more
doaj   +1 more source

Population Genomics Insights into the First Wave of COVID-19

Life, 2021
Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms.
Maria Vasilarou, Nikolaos Alachiotis, Joanna Garefalaki, Apostolos Beloukas, Pavlos Pavlidis   +4 more
doaj   +1 more source

Rates of Spontaneous Mutation

Genetics, 1998
Abstract Rates of spontaneous mutation per genome as measured in the laboratory are remarkably similar within broad groups of organisms but differ strikingly among groups. Mutation rates in RNA viruses, whose genomes contain ca. 104 bases, are roughly 1 per genome per replication for lytic viruses and roughly 0.1 per genome per ...
J W, Drake, B, Charlesworth, D, Charlesworth, J F, Crow   +3 more
openaire   +2 more sources

Mutation analysis of 21 autosomal short tandem repeats in Han population from Hunan, China

Annals of Human Biology, 2019
Background: Short tandem repeats (STRs) are powerful genetic markers widely used in human genetics. Population data and locus-specific mutation rates of STRs are crucial for the evaluation and interpretation of genetic evidence in forensic and population
Wei Xu, Yuequn Wang, Dandan Zhang, Daixin Wang, Liang Zhou, Xiangli Ye, Chaogeng Zhu, Yongzhong Shi   +7 more
doaj   +1 more source

A comparative study of adaptive mutation operators for metaheuristics [PDF]

, 2009
Genetic algorithms (GAs) are a class of stochastic optimization methods inspired by the principles of natural evolution. Adaptation of strategy parameters and genetic operators has become an important and promising research area in GAs.
Yang, S, Li, C, Korejo, I
core   +2 more sources

GAN-Based Abrupt Weather Data Augmentation for Wind Turbine Power Day-Ahead Predictions

Energies, 2023
This study introduces a data augmentation technique based on generative adversarial networks (GANs) to improve the accuracy of day-ahead wind power predictions.
Renfeng Liu, Yinbo Song, Chen Yuan, Desheng Wang, Peihua Xu, Yaqin Li   +5 more
doaj   +1 more source

Global coordination of the mutation and growth rates across the genetic and nutritional variety in Escherichia coli

Frontiers in Microbiology, 2022
Fitness and mutability are the primary traits of living organisms for adaptation and evolution. However, their quantitative linkage remained largely deficient.
Zehui Lao, Yuichiro Matsui, Shinya Ijichi, Bei-Wen Ying   +3 more
doaj   +1 more source

Estimating Mutation Rate: How to Count Mutations? [PDF]

Genetics, 2003
Abstract Mutation rate is an essential parameter in genetic research. Counting the number of mutant individuals provides information for a direct estimate of mutation rate. However, mutant individuals in the same family can share the same mutations due to premeiotic mutation events, so that the number of mutant individuals can be ...
Yun-Xin, Fu, Haying, Huai
openaire   +2 more sources

A practical introduction to sequentially Markovian coalescent methods for estimating demographic history from genomic data

Ecology and Evolution, 2020
A common goal of population genomics and molecular ecology is to reconstruct the demographic history of a species of interest. A pair of powerful tools based on the sequentially Markovian coalescent have been developed to infer past population sizes ...
Niklas Mather, Samuel M. Traves, Simon Y. W. Ho   +2 more
doaj   +1 more source

Effect of Salt Stress on Mutation and Genetic Architecture for Fitness Components in Saccharomyces cerevisiae

G3: Genes, Genomes, Genetics, 2020
Mutations shape genetic architecture and thus influence the evolvability, adaptation and diversification of populations. Mutations may have different and even opposite effects on separate fitness components, and their rate of origin, distribution of ...
Christopher Kozela, Mark O. Johnston
doaj   +1 more source