ライフサイエンスコーパス: population genetics

1 rtions is a classical statistical problem in population genetics.

2 sing is a fundamental problem in medical and population genetics.

3 analyses of lynx demography, evolution, and population genetics.

4 es that can be evaluated through analysis of population genetics.

5 e population size (Ne) is a key parameter in population genetics.

6 ns, a problem important for both medical and population genetics.

7 s, from modelling share prices to predicting population genetics.

8 may have broad applicability in the field of population genetics.

9 for forensic applications and the studies of population genetics.

10 is commonly used for parametric inference in population genetics.

11 demographic history is an important task in population genetics.

12 explanation for this longstanding paradox of population genetics.

13 cy spectrum (SFS), is of primary interest in population genetics.

14 ve branches of biochemistry, biophysics, and population genetics.

15 iation have been important areas of focus in population genetics.

16 gy, epidemiology, microbiology, taxonomy and population genetics.

17 complex models, for instance those found in population genetics.

18 ds of evolutionary developmental biology and population genetics.

19 ulation admixture is an important subject in population genetics.

20 ights to questions in both phylogenetics and population genetics.

21 calable framework for coalescent analysis in population genetics.

22 c model differs from those typically used in population genetics.

23 c variation and distorts basic principles of population genetics.

24 ents in human evolution and other aspects of population genetics.

25 with, the stochastic theory of evolutionary population genetics.

26 is one of the most fundamental parameters in population genetics.

27 olutionary processes is a fundamental aim of population genetics.

28 in relation to their implications for human population genetics.

29 itness or ESS methods but are possible using population genetics.

30 rimate Alu elements for use in phylogeny and population genetics.

31 an evolutionary process reflected in modern population genetics.

32 mographic stochasticity into basic models of population genetics.

33 logy, epidemiology and pharmacogenetics) and population genetics.

34 is essential for answering many questions in population genetics.

35 nomes is an important problem in medical and population genetics.

36 ghly informative for association mapping and population genetics.

37 h combines machine learning with theoretical population genetics.

38 will be of use in areas such as ecology and population genetics.

39 atural selection is a challenging problem in population genetics.

40 ics the bridge between landscape ecology and population genetics.

41 e human genetic discoveries in Mendelian and population genetics.

42 formats for multi-locus phylogeographic and population genetics analyses - NEXUS, IMa2 and Migrate.

43 18S51, D5S818 and FGA) routinely employed in population genetics analyses and compared across a set o

44 gsTools, a collection of programs to perform population genetics analyses from next-generation sequen

45 Population genetics analyses of the focal editing sites

46 we performed comprehensive evolutionary and population genetics analyses on over 18 million DHSs dis

47 ecies have undergone some form of spatial or population genetics analyses, and this has revealed stri

48 scape of these Japanese subpopulations using population genetics analyses.

49 Population genetics analysis demonstrates that the Korea

50 Further population genetics analysis provided strong evidence of

51 They are often used in forensics and population genetics and are also the underlying cause of

52 Detecting structure in population genetics and case-control studies is importan

53 nction has several practical applications in population genetics and computing it for biologically re

54 tion and the efficacy of selection depend on population genetics and demographic history.

55 Here, we review HLA population genetics and detail the mathematical basis of

56 this idea using models which explore vector population genetics and disease transmission probabiliti

57 cies and demonstrates the complementarity of population genetics and ecological niche modeling in und

58 We use a combination of population genetics and epidemiological models to examin

59 By developing a model that integrates both population genetics and epidemiology, we explore how mos

60 essential for understanding many aspects of population genetics and evolution, from haplotype struct

61 cs and game theory, and certain processes in population genetics and evolution.

62 ze [Formula: see text] is a key parameter in population genetics and evolutionary biology, as it quan

63 However, little is known about the population genetics and evolutionary forces underlying t

64 dapt on evolutionary timescales by combining population genetics and evolutionary theory with a detai

65 ith such accuracy is potentially valuable in population genetics and forensics.

66 Based on a combination of mouse population genetics and functional in vitro assays, we d

67 d an essential database for studies of human population genetics and genome-wide association.

68 Combining population genetics and linkage mapping, we identify a n

69 data for applications in diverse contexts in population genetics and molecular ecology.

70 from genomic features and expression data to population genetics and ontologies.

71 applications in genetic association studies, population genetics and personal genomics.

72 al for estimating evolutionary parameters in population genetics and phylogenetics.

73 stressing the need for gBGC-aware models in population genetics and phylogenetics.

74 everal fields including molecular evolution, population genetics and protein design.

75 lant transformation, in vitro enzyme assays, population genetics and quantitative genetics to address

76 ed a contemporaneous global snapshot of DENV population genetics and revealed high amino acid identit

77 vel, which has implications for the study of population genetics and social behavior.

78 predictive framework, drawing on ideas from population genetics and spread theory, to understand whe

79 tance is an essential point in Arabian horse population genetics and strains classification.

80 Details of population genetics and structure will allow following,

81 logeography is said to be the bridge between population genetics and systematics, and landscape genet

82 Strain comparison is important to population genetics and to evaluate relapses in patients

83 domains to amplify signals of selection from population genetics and traditional interspecies conserv

84 nuisance-biting requires greater emphasis on population genetics and transmission modeling.

85 We develop new methods based on population genetics and variance components models to bu

86 stry analysis in genetics, pharmacogenomics, population genetics, and clinical diagnosis.

87 y indirect information including morphology, population genetics, and colony demographics, make it cl

88 tivities to formal instruction in evolution, population genetics, and computational biology.

89 d utility across the disciplines of ecology, population genetics, and economics, both because of the

90 have been frequently utilized in forensics, population genetics, and genetic genealogy.

91 mulation has become an indispensable tool in population genetics, and many complex evolutionary scena

92 ion of this organism's ecology and behavior, population genetics, and phylogeny can inform a variety

93 g 18,514 sequences, we perform phylogenetic, population genetics, and structural bioinformatics analy

94 ecies, these genes have a major influence in population genetics, and transposable elements play a ke

95 is under selection is an important issue in population genetics, and various neutrality tests have b

96 We reason that certain bacterial population genetics anomalies could be explained by the

97 a pivotal role in multiple genetic diseases, population genetics applications, and forensic casework.

98 enome-wide mutation rate map for medical and population genetics applications.

99 We developed a population genetics approach to analyze complex genome s

100 Using a population genetics approach, we determine the impact of

101 ombined quantitative trait locus mapping and population genetics approach, we show that allelic varia

102 Sea predators, the harbor porpoise, using a population genetics approach.

103 Population genetics approaches are commonly used to mode

104 ing genetic resistance to malaria in humans, population genetics approaches can contribute both to in

105 tential of combining functional genomics and population genetics approaches for understanding gene re

106 isms' trajectories and (ii) use quantitative population genetics approaches to estimate the contribut

107 P. falciparum isolates from Malawi and used population genetics approaches to investigate genetic di

108 ing the region have been reported, but their population genetics are largely unexplored.

109 nt human gut bacteria, but its diversity and population genetics are not well understood because larg

110 ing is one of the most important problems in population genetics as haplotypes can be used to estimat

111 Population genetics, as a field, also lacks standard ben

112 Further, I discuss the population genetics aspects of many of the variants, inc

113 A famous result in population genetics asserts that the rate, K, at which t

114 This article provides a timely Review of how population-genetics-based strategies are being applied t

115 dified from existing concepts in theoretical population genetics because cultural evolution has many

116 temporal consequences of the super-Mendelian population genetics before potential applications.

117 tion has important practical applications in population genetics, but finding an explicit formula und

118 eptual flaw in the backward-time approach to population genetics called coalescent theory as it is ap

119 eemly contradictory results from ecology and population genetics can be reconciled by genetic models

120 Our estimates of this effect, based on population genetics, capture the observed relationship b

121 the central biological processes studied in population genetics, comes in two known forms: crossover

122 able for the broader functional genomics and population genetics communities, we developed SNPDelScor

123 Yersinia pseudotuberculosis A combination of population genetics, comparative genomics, and investiga

124 understanding of mutational load, a central population genetics concept, and we discuss their implic

125 (SNP) is typically the variant of choice for population genetics, copy number variation (CNV) which c

126 netic basis of human adaptations, we combine population genetics data with ecological information to

127 ility to apply genotype networks analysis to population genetics data.

128 networks analysis has rarely been applied to population genetics data.

129 is not easily reconciled with molecular and population genetics data.

130 A new study uses a massive comparative population genetics dataset to explore why the neutral g

131 By pairing population genetics datasets from 173 New World bird spe

132 ng controlled experiments as well as genuine population genetics datasets.

133 of weak selection, the standard equations of population genetics describing natural selection in the

134 ouse has contributed to our understanding of population genetics, disease ecology, longevity, endocri

135 AD browser(8) and will have broad utility in population genetics, disease-association studies, and di

136 ing on cultural evolutionary applications in population genetics, ecology, and demography.

137 Strong applications are also predicted in population genetics, evolution, earth sciences, and econ

138 er ABC methods on a Normal toy example and a population genetics example dealing with human populatio

139 Even so, asking whether population genetics explains endosymbiosis may have the

140 Using population genetics, field-based behavioral observations

141 data, and argue for a better integration of population genetics findings into malaria-control strate

142 Population genetics "follows" genes, is replication-cent

143 ptive processes has been a central debate in population genetics for nearly a century.

144 Here we use a population genetics framework and next generation sequen

145 asites might lead to qualitatively different population genetics from that predicted from the classic

146 nt that do not adequately describe bacterial population genetics, genomics or evolution.

147 cation has been studied using phylogenetics, population genetics-genomics, quantitative trait locus (

148 lightly longer than the time since the first Population Genetics Group (PGG) meeting in January 1968.

149 ring the role of strong seed-bank effects in population genetics has been proposed by Blath et al.

150 Population genetics has evolved from a theory-driven fie

151 This pivotal concept of population genetics has implications for species health,

152 To date population genetics has lacked the required power to con

153 er variable loci.IMPORTANCE Advances in HCMV population genetics have greatly outpaced understanding

154 In population genetics, however, the accumulation of mildly

155 e genome sequencing (WGS) projects involving population genetics, human diseases, and clinical genomi

156 he perspective of both molecular biology and population genetics in an ecological context.

157 roles of biogeographic history and marginal population genetics in determining range limits.

158 n DNA sequencing are accelerating studies of population genetics in species with limited genetic and

159 coalescent, the cornerstones of mathematical population genetics, in further discussions of evolution

160 s, transcript and protein expression data to population genetics including variation and insecticide-

161 e adopted in a wide range of applications in population genetics, including imputing missing sequence

162 Most modern population genetics inference methods are based on the c

163 Yet standard population genetics inference methods hardly distinguish

164 y through the application of statistical and population genetics inferences.

165 We review and classify existing population genetics-inspired methods for arresting evolu

166 Much of population genetics is based on the diffusion limit of t

167 Thus the analysis of bacterial population genetics is in large part a collection of exp

168 Population genetics is increasingly being used to study

169 ween humans and animal models, for which the population genetics is largely ignored.

170 edge from studies of Drosophila genomics and population genetics is reviewed here.

171 A central problem in population genetics is to detect and analyze positive na

172 A primary goal of population genetics is to determine the genetic basis of

173 A major goal of population genetics is to quantitatively understand vari

174 One of the primary goals of population genetics is to succinctly describe genetic re

175 A central goal of population genetics is to understand how genetic drift,

176 tage with cardiovascular disease, and modern population genetics, it is possible to assemble strong h

177 on episodes in the fields of archaeology and population genetics lack either temporal resolution or f

178 Population genetics largely rests on a 'standard model'

179 reevaluated, including our understanding of population genetics, life-history evolution, and the rol

180 Population genetics mathematical models are developed he

181 We propose a novel population genetics methodology that combines such predi

182 pulation (hyperdiversity) mean that standard population genetics methods are not trustworthy.

183 s have a disruptive effect on widely applied population genetics methods for inferring recombination

184 genomes and phenotypes and enable molecular population genetics methods to finely resolve uncharacte

185 ameters of genetic variation, using a simple population genetics model of mutational effects on fitne

186 We analyze a population genetics model that incorporates purifying se

187 We developed a population genetics model that predicts that the observe

188 e improved CSDs directly from the underlying population genetics model.

189 A mathematical population-genetics model showed how tolerance boosts th

190 We also use a simple population-genetics model to demonstrate that when both

191 ascar, using a multiproxy approach combining population genetics modeling and remote-sensing analyses

192 nt ancestor cannot be explained by classical population genetics models and is irreconcilable with th

193 De novo mutation studies also inform population genetics models and shed light on the biology

194 Consistent with data, population genetics models incorporating the trade-offs

195 integrating models of molecular processes to population genetics models to quantitatively estimate pa

196 of standard distributions, time series, and population genetics models.

197 ve evolution is shaped by the interaction of population genetics, natural selection and underlying ne

198 We develop a discrete time model for population genetics of a drive and proposed genetic coun

199 epancies and provide novel insights into the population genetics of adaptation.

200 er evaluation of the molecular evolution and population genetics of AMP genes reveals more evidence f

201 odel provides a conceptual framework for the population genetics of any micropathogen.

202 ne microsatellite markers to investigate the population genetics of C. ciliata and retrace its spread

203 genetics is a new field that focuses on the population genetics of extinct groups and ancestral popu

204 In this study, we investigated population genetics of five Liriomyza species L. trifoli

205 a conceptual link between the physiology and population genetics of growing bacteria.

206 that of autosomal genes, suggesting that the population genetics of interacting X-linked and autosoma

207 The population genetics of L. pyrrhocoris was also addressed

208 The population genetics of most range expansions is thought

209 The population genetics of mutation rate modifier alleles ha

210 We thus characterize here the population genetics of previously inaccessible intestina

211 y remain unexplored in models describing the population genetics of range expansion.

212 sts may open new venues for dealing with the population genetics of recurrent mutations as well as he

213 veral interesting observations regarding the population genetics of small INDEL variation.

214 ples from the 1980s and 1990s to explore the population genetics of SP resistant dhfr and dhps allele

215 To understand the population genetics of structural variants and their eff

216 ted the timescale, evolutionary history, and population genetics of the HIV-1 CRF01_AE strains primar

217 ring RNAs in the germline, and the molecular population genetics of the interaction of genetic linkag

218 We present knowledge on the population genetics of the major vector species Glossina

219 not provide much information in the study of population genetics of these species.

220 This is the most extensive study of the population genetics of this species and contributes to o

221 958, and the risk of metabolic diseases in 3 populations (Genetics of Lipid Lowering Drugs and Diet N

222 versity, which are fundamental properties in population genetics, often follow heavy tailed distribut

223 isher model, the standard reference model of population genetics, or similar types of models, in whic

224 progress that have occurred in the field of population genetics over the past 50 years, slightly lon

225 Here, we compared various population genetics parameters among six DNA (leaf) samp

226 More importantly, population genetics parameters, for instance, the scaled

227 mulating from the posterior distributions of population genetics parameters.

228 Here we examine domestication from a population genetics perspective, with a focus on three i

229 lution may not accurately portray results in population genetics, phylogenetics and forensics, which

230 Models inherited from population genetics, phylogenetics, and human disease ge

231 earch questions in a variety of fields (e.g. population genetics, phylogenetics, forensics, etc.), du

232 e systems are largely consistent with common population genetics principles.

233 tools for interpreting the data in terms of population genetics processes such as genetic drift, bal

234 pon emerging methodologies in statistics and population genetics, provide a powerful means of address

235 source to advance the study of S. cerevisiae population genetics, quantitative genetics, and the emer

236 -devo, however, it appears that evo devo and population genetics remain largely separate spheres of r

237 s an underutilized source of information for population-genetics research.

238 land and its off-shore cays, and applied the population genetics results for assignment of Management

239 These studies report the first comparative population genetics results for staphylococci and the fi

240 Using a population genetics scoring model, we identified 55 mill

241 We used a rigorous population-genetics simulation framework to evaluate the

242 By combining population genetics simulations with a simple biophysica

243 Next, we perform stochastic population-genetics simulations on a realistic fitness l

244 Here we present ogaraK, a population genetics simulator for modelling the spread o

245 GeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolu

246 es in malaria biology, existing forward-time population genetics simulators cannot suitably model Pla

247 es in conservation genetics, phylogeography, population genetics, species delimitation, and systemati

248 nd Mendelism and ever since has been used in population genetics, specifically for the trait of fitne

249 The juxtaposition of population genetics statistics in small genomic windows

250 ion of mating systems and their influence on population genetics structure and adaptive potential.

251 Some population genetics studies have led to speculation that

252 NemaSNP enables the user to perform population genetics studies in various nematode populati

253 udies, Brazil has been a classical model for population genetics studies on admixture.

254 Population genetics studies on non-model organisms typic

255 Modern population genetics studies typically involve genome-wid

256 ng single nucleotide polymorphisms (SNPs) to population genetics studies.

257 much greater resolution than can traditional population genetics studies.

258 A comparative population genetics study revealed high levels of nucleo

259 ge, assessment center, genotyping array, and population genetics substructure.

260 But is population genetics sufficiently explanatory of endosymb

261 We performed a population genetics survey based on CNVs derived from th

262 Much like neutrality tests from population genetics that use relative abundance distribu

263 quency populations, reflecting their complex population genetics, the true magnitude of this burden i

264 itness remains unknown and stands apart from population genetics theories linking fitness effect to p

265 It has been well-established, both by population genetics theory and direct observation in man

266 The convergence of sequencing technology and population genetics theory has made such projects feasib

267 Research in population genetics theory has two main strands.

268 Statistical methods based on population genetics theory have been applied to the resu

269 Population genetics theory predicts an increase of mutat

270 Population genetics theory predicts that X (or Z) chromo

271 In contrast with the classical population genetics theory that models population struct

272 equences obtained from fossils calls for new population genetics theory that takes account of both th

273 Consistent with the population genetics theory, H273R PV was driven to extin

274 We present an application of population genetics theory, specifically, coalescence mo

275 Applying population genetics theory, we propose a novel two-phase

276 as lethal mutagenesis and is a corollary of population genetics theory.

277 dual, F, is one of the central parameters in population genetics theory.

278 agonism--has yet to be formally described by population genetics theory.

279 It remains a central problem in population genetics to infer the past action of natural

280 ment simulations of air-borne particles, and population genetics to reconstruct the chain of events t

281 crobial 'species' and complicates efforts of population genetics to study their evolution.

282 (PRF) model has become an important tool in population genetics to study weakly deleterious genetic

283 Application of the principles of population genetics to the HLA genes has resulted in the

284 species, illustrate how genome structure and population genetics together shape regulatory evolution.

285 for the analysis of genetic data, classical population genetics tools are being challenged by the in

286 th capillary electrophoresis and an array of population genetics tools were employed to analyze the d

287 ury of high-resolution ocean model data with population genetics tools.

288 A series of methods in population genetics use multilocus genotype data to assi

289 ches to test this hypothesis using influenza population genetics, virus prevalence in various host sp

290 By combining genome sequencing and population genetics, we investigate the evolutionary for

291 First, in the context of population genetics, we show that a horizontally-transmi

292 ng a nested model of protein translation and population genetics, we show that observed gene level va

293 t approach to integrate Machine Learning and Population Genetics which can explicitly model co-existi

294 deviations from the standard predictions of population genetics, which average over population pedig

295 explicitly bridges molecular evolution with population genetics with applications from protein redes

296 We examine this question by intergrating population genetics with ecological niche modelling of L

297 Here, by integrating population genetics with experimental data for growth an

298 tic heterogeneity, by combining clinical and population genetics with protein structural analysis.

299 readth of sampling of loci characteristic of population genetics with the depth of sequence informati

300 sts and should facilitate the integration of population genetics with the study of mathematical popul