ライフサイエンスコーパス: population genetics

1 explanation for this longstanding paradox of population genetics.

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

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

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

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

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

7 ds of evolutionary developmental biology and population genetics.

8 ights to questions in both phylogenetics and population genetics.

9 calable framework for coalescent analysis in population genetics.

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

11 c variation and distorts basic principles of population genetics.

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

13 with, the stochastic theory of evolutionary population genetics.

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

15 olutionary processes is a fundamental aim of population genetics.

16 in relation to their implications for human population genetics.

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

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

19 an evolutionary process reflected in modern population genetics.

20 mographic stochasticity into basic models of population genetics.

21 logy, epidemiology and pharmacogenetics) and population genetics.

22 gh-fidelity reference sequence for thylacine population genetics.

23 lip, etc., provide the foundation for modern population genetics.

24 es) have recently received much attention in population genetics.

25 h is now poised to become a model system for population genetics.

26 ding populations is a fundamental problem in population genetics.

27 n is one of the most important principles in population genetics.

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

29 atural selection is a challenging problem in population genetics.

30 ics the bridge between landscape ecology and population genetics.

31 e human genetic discoveries in Mendelian and population genetics.

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

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

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

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

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

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

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

39 for forensic applications and the studies of population genetics.

40 is commonly used for parametric inference in population genetics.

41 demographic history is an important task in population genetics.

42 sed methods (PAML and HyPhy) as well as from population genetics analyses (McDonald-Kreitman-based te

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

44 18S51, D5S818 and FGA) routinely employed in population genetics analyses and compared across a set o

45 ss the implications of these data for future population genetics analyses and genomics studies in A.

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

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

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

49 ling distributions play an important role in population genetics analyses, but closed-form sampling f

50 Population genetics analysis demonstrates that the Korea

51 st this prediction, we performed a molecular population genetics analysis of nucleotide polymorphism

52 Further population genetics analysis provided strong evidence of

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

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

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

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

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

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

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

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

61 oire, which will be beneficial to studies of population genetics and evolution, disease association a

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

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

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

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

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

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

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

69 Population genetics and genome-wide association studies

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

71 portant implications for linkage mapping and population genetics and hence breeding programs of tetra

72 e-scale data sets from genomics, physiology, population genetics and imaging are driving research at

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

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

75 hed evolutionary methods and topics, such as population genetics and pathogen evolution, we highlight

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

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

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

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

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

81 Details of population genetics and structure will allow following,

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

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

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

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

86 use of principal component analysis (PCA) in population genetics and used PCA to produce maps summari

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

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

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

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

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

92 re prospects at this nexus of phylogenetics, population genetics, and genomics.

93 ea of intersection between phylogenetics and population genetics, and its implications for primate ph

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

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

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

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

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

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

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

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

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

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

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

105 Lastly, a divergence population-genetics approach was used to investigate gen

106 Population genetics approaches are commonly used to mode

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

122 iled molecular, mechanistic, phenotypic, and population genetics characterization of adaptive alleles

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

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

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

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

127 lomeres, we collected and analyzed molecular population genetics data from the X chromosome subtelome

128 mportant steps in the analysis of multilocus population genetics data sets.

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

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

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

132 of PCA has become widespread in analysis of population genetics data.

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

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

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

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

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

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

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

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

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

142 Using population genetics, field-based behavioral observations

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

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

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

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

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

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 In population genetics, however, the accumulation of mildly

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

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

156 ill be of general interest to biologists and population genetics in editing DNA sequence alignments a

157 Yet there have been few studies of TE population genetics in plant systems.

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

159 ong analogy to the 'stepping stone' model of population genetics, in which a single species of diffus

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 An important goal of population genetics is to elucidate the effects of natur

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

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

176 The current tendency in molecular population genetics is to use increasing numbers of gene

177 A major problem in population genetics is understanding how the genomic pat

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

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

180 Population genetics largely rests on a 'standard model'

181 e and Log definitions, each commonly used in population genetics, lead to differing conclusions relat

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

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

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

185 years, there have been major developments of population genetics methods to estimate both rates of re

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

187 irus were established using phylogenetic and population genetics methods.

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

189 A previously established multiscale population genetics model posits that fitness can be inf

190 We analyze a population genetics model that incorporates purifying se

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

192 Here we demonstrate, using a general population genetics model, that mutational robustness ca

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

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

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

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

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

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

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

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

201 We examined the population genetics of 576 song sparrows from 23 populat

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

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

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

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

206 Comparative population genetics of ecological guilds can reveal gene

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

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

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

210 The population genetics of L. pyrrhocoris was also addressed

211 The population genetics of mutation rate modifier alleles ha

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

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

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

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

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

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

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

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

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

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

222 itical role in controlling the dispersal and population genetics of wild Drosophila species, as well

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

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

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

226 mulating from the posterior distributions of population genetics parameters.

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

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

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

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

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

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

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

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

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

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

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

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

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

240 By combining population genetics simulations with a simple biophysica

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

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

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

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

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

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

247 The juxtaposition of population genetics statistics in small genomic windows

248 comparative cytogenetic mapping efforts and population genetics studies focused on the genomic chara

249 Some population genetics studies have led to speculation that

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

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

252 Population genetics studies on non-model organisms typic

253 Modern population genetics studies typically involve genome-wid

254 As well as informing the design of canine population genetics studies, our results have implicatio

255 much greater resolution than can traditional population genetics studies.

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

257 world's most extensive resources for canine population-genetics studies: the United Kingdom (UK) Ken

258 A comparative population genetics study revealed high levels of nucleo

259 But is population genetics sufficiently explanatory of endosymb

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

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

262 owever, some of the latest studies of modern population genetics, the fossil record and especially an

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 Comparing our data to predictions of population genetics theory using coalescent simulations,

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

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

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

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

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

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

279 Here I use population genetics to show that three previously charac

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

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

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

283 We discuss how population genetics, together with functional assays, ca

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

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

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

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

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

289 -choice experiments, field observations, and population genetics, we studied a butterfly population w

290 To investigate HIV-1 population genetics, we used single-genome sequencing to

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

292 A fundamental problem in population genetics, which being also of importance to f

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

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

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

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

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

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

299 tion of biological information that connects population genetics with the tools of information theory

300 ummarize progress and prospects in bacterial population genetics, with an emphasis on detecting the f