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1 ion for a specific prior distribution of the genealogy).
2 a population are often related by an unknown genealogy.
3 nts lead to a mosaic of segments with shared genealogy.
4 have led to some confusion concerning strain genealogy.
5 oth genes are copies of the same gene in the genealogy.
6 the transmission of chromosomes through that genealogy.
7 for a founder population with a large, known genealogy.
8 haplotypes, from which we constructed a gene genealogy.
9 n mapping mutations on a phylogeny or a gene genealogy.
10 function of a mapping of mutations on a gene genealogy.
11 d to the branch lengths of the reconstructed genealogy.
12 nastomose, connected strictly via historical genealogy.
13 le, we have been unable to identify a common genealogy.
14 Utah DARCC subjects were linked to the UPDB genealogy.
15 decline based on the shape of the resulting genealogy.
16 ly reflect species phylogeny, or simply gene genealogy.
17 orting effect on the shape of the underlying genealogy.
18 forensics, population genetics, and genetic genealogy.
19 population dynamics or the shape of the gene genealogy.
20 of forward mutations mapped on the sequence genealogy.
21 of forward mutations mapped on the sequence genealogy.
22 infection of another host in a pathogen gene genealogy.
23 on the structure of the simulated coalescent genealogy.
24 ing medical genetics, forensics, and genetic genealogy.
25 fidence recombination events in their shared genealogy.
26 in addition to sampled genetic sequences and genealogies.
27 tions, and importance sampling of coalescent genealogies.
28 ance polymorphism has a genomewide impact on genealogies.
29 rees while accommodating uncertainty in gene genealogies.
30 selection has surprisingly little effect on genealogies.
31 tree, which in most cases confirmed existing genealogies.
32 ecursively linked to faculty mentors to form genealogies.
33 to date, providing evidence for ancient gene genealogies.
34 n and verification of pedigrees within large genealogies.
35 h different forms of population structure to genealogies.
36 ion dynamics and demographic parameters from genealogies.
37 fitting stochastic epidemiological models to genealogies.
38 3 through identity-by-descent analysis in 17 genealogies.
39 ns commonly insert migration events into the genealogies.
40 rfectly linked sites alters the structure of genealogies.
41 lutionary scenarios but which cannot produce genealogies.
45 n the ancestral recombination graph to infer genealogies across the length of the human X chromosome
47 ration of the shattered coalescent model for genealogies, allowing for multiple founding mutations at
49 proposed for characterizing the structure of genealogies among alleles that regulate self-incompatibi
51 listing all the ancestral configurations and genealogies and computing the exact probability of data.
52 Positive selection distorts the structure of genealogies and hence alters patterns of genetic variati
54 esearchers to easily sample and analyze gene genealogies and related data from populations evolving u
56 higher than the number expected for neutral genealogies and similar sample sizes and is more consist
57 n about population structure is contained in genealogies and what sample sizes are necessary to relia
59 nificantly modify the branch lengths of an S genealogy and may be ubiquitous to recognition systems.
62 nd for uncertainty about the true underlying genealogy and the makeup of ancestral marker haplotypes.
63 the trade-off between the complexity of the genealogy and the power lost due to the additional multi
64 oalescent model for the sampled individuals' genealogy and then integrating over all possible genealo
65 han lanosterol (characteristic of the fungal genealogy) and the chirality of the C-24 alkyl group is
66 s inferred from primary-metabolism (PM) gene genealogies, and FUM cluster types are not trans-specifi
67 simulation, REJECTOR generates numerous gene genealogies, and hence simulated data, under a model of
68 coalescent is a convenient way to model such genealogies, and in this paper we set out the theory beh
70 n for HGGs is influenced by medical academic genealogies, and that articles contributed by authors of
74 across patients, we conclude that empirical genealogies are more asymmetric than expected if evoluti
75 h theory, TMRCA is significantly reduced and genealogies are significantly more imbalanced in coding
76 heritance, and show that its effects on gene genealogies are similar to partial self-fertilization.
77 d to cross the habitat, deep branches in the genealogy are longer than would be expected under the st
78 sions of the pedigree connection problem for genealogies as well as other pedigree analysis problems.
79 computing the expected overall length of the genealogy as a function of the individual birth rate gam
81 ential applications in forensics and genetic genealogy, assessed the ability to differentiate between
83 then used to generate a null distribution of genealogies assuming neutrality, with the null and empir
85 ence times and migration rates from inferred genealogies at many neutrally evolving loci across the g
86 id increase of a selected allele affects the genealogy at partially linked sites, which under fairly
87 ses at unlinked loci are correlated with the genealogy at the selected locus; i.e., fecundity varianc
88 r of articles from the same medical academic genealogy (authors with shared training history and/or m
89 etailed reconstruction of human Y chromosome genealogy based on several tens to even hundreds of thes
91 quences, was closely congruent with the host genealogy, based on clam mitochondrial cytochrome oxidas
92 orresponding to cell types related by a tree-genealogy, based on only a few samples from each cell ty
96 empirical distributions compared using four genealogy-based summary statistics sensitive to nonneutr
97 may produce significant distortions in gene genealogies, but few studies have sought to quantify thi
101 y shown that the generating function (GF) of genealogies can be used to analytically compute likeliho
102 imple cladogenetic theory suggests that gene genealogies can be used to detect mixis in a population
103 xtremely long time scales, such that allelic genealogies can shed insight into long-term demographic
106 which manifests itself in the form of a gene genealogy, causes the structure of G to be nonuniform in
107 nique users, mainly from the general genetic genealogy community, have already used DNA Compass, demo
110 ntial challenge, as current methods to store genealogies consume a great deal of space, are slow to p
111 of the study might decrease if these imputed genealogies create an additional multiple-hypothesis tes
112 contains >2 million individual records with genealogy data and 250,000 linked death certificates.
113 PedHunter uses a relational database of genealogy data, with tables in specified format, for all
114 are illustrated by examples using the Amish Genealogy Database (AGDB), which was created for the Old
116 dy included an enlargement of the Anabaptist Genealogy Database to 539,822 individuals, which will be
117 software query system was used on the Amish Genealogy Database to correct the previous pedigree, der
120 distribution of mutations on the rooted gene genealogies demonstrate that the oldest mutations in P.
122 Consistent with previous molecular data the genealogies do not, however, support the division of Zea
123 ulation are already in equilibrium, then the genealogy does not differ much from the neutral case.
125 mutating locus and an incompletely resolved genealogy, enumerates mutation histories with a minimum
127 thods prove useful for probing fragmentation genealogies, evaluating the structures of lower mass fra
128 in these statistics because of variation in genealogy even among neutral loci, and values at pairs o
130 e salvage and de novo synthesis, we inferred genealogies for each enzymatic domain in the latter path
136 ity, allowed us to construct a comprehensive genealogy for Toxoplasma gondii that incorporates sexual
139 rchives, FamilySearch and Sorenson Molecular Genealogy Foundation, I was able to discern the likely h
142 nging, however, because the inference of the genealogy from the genotypes is a computationally intens
143 enetic simulator that allows for sampling of genealogies, genetic data and many population parameters
144 racters, as well as concordance of four gene genealogies, H. capsulatum could be considered to harbor
147 s restrict themselves to perfectly tree-like genealogies (i.e. regions with no observed recombination
148 ards this goal, we explore the properties of genealogies in a model of continual adaptation in asexua
151 r assertions, a rigorous analysis of allelic genealogies in this gene family cannot be used to justif
152 Here we use nuclear and chloroplast gene genealogies in two species of Silene to show the histori
155 Extensive incompatibilities between gene genealogies indicate frequent recombination between unli
156 ndem mass spectrometry experiments to obtain genealogy information about product ions present in mass
157 ng knowledge of genetics and accumulation of genealogy information, pedigree data is becoming increas
160 eep coalescence event when fitting the mtDNA genealogy into the species tree, which is not unexpected
166 roposed that describes the extent to which a genealogy is similar to one from a population of constan
167 probability distribution, then a coalescent genealogy is simulated which extends the sampled genealo
169 orensic studies and, in the form of 'genetic genealogy', is an area of rapidly growing interest for t
170 d an authorship contribution from the second genealogy, it was less likely to support maximal resecti
171 ed an authorship contribution from the first genealogy, its results were more likely to support maxim
175 s indicate that much of the combined allelic genealogy may be explained by lineage sorting and phylog
176 cal training and that this "medical academic genealogy" may influence the landscape of the peer-revie
177 s showed that a virus time-scaled phylogeny (genealogy) may be substantially different from the betwe
181 rom the posterior distribution of coalescent genealogies of all the sampled chromosomes without regar
184 hat our approach can efficiently reconstruct genealogies of isolates in situations where classical ph
187 ce of incomplete lineage sorting so that the genealogies of SNPs do not all conform to a single topol
188 to the two reference loci, and the inferred genealogies of the division 5D/6 genes show patterns con
189 A measure of the correlation between the genealogies of two nucleotides on two sequences is intro
191 we used a phylogenetic approach to obtain a genealogy of 148 NTPase genes and reconstruct a scenario
197 opose an estimator that considers the entire genealogy of all of the sampled genes and infers admixtu
199 igration-only models studied previously, the genealogy of any sample includes two phases: a brief sam
202 mmary statistics, migration analyses and the genealogy of current populations of P. infestans for bot
203 the important features of this approach on a genealogy of HIV-1 envelope (env) partial sequences.
204 erful tools for reconstructing the worldwide genealogy of human Y chromosomes and for illuminating pa
207 distinct differentiation pathways and to the genealogy of mature hematopoietic cells under physiologi
208 Here, we resolve the first Y chromosome genealogy of modern horses by screening 1.46 Mb of the m
210 erical simulation indicated that the allelic genealogy of one species appeared consistent with the sy
211 l that defines a probability density for the genealogy of randomly sampled individuals from the popul
214 To correlate phenotypes with the age and genealogy of single cells over time, we developed a micr
215 ize that incorporates the uncertainty in the genealogy of such temporally spaced sequences by using M
219 wever, SNPs are correlated by the unobserved genealogy of the population, and a more powerful statist
222 these loci, many recombination events in the genealogy of the sampled alleles can be inferred and the
227 as examined using a resource consisting of a genealogy of the Utah population linked to death certifi
231 in gene codon 129M and were not connected by genealogy or microsatellite haplotype background to the
234 ted samples i.e., the set of highly probable genealogies out of the infinite set of possible genealog
235 entor trains-using data from the Mathematics Genealogy Project, which tracks the mentorship record of
238 tes of the scaled indices were obtained from genealogies reconstructed from nucleotide sequences of s
241 ating longer terminal branches in the S gene genealogy relative to the congener Physalis crassifolia.
242 of the coalescence probability density of a genealogy requires a product over all time periods betwe
243 Utah Population Database, a population-based genealogy resource linked to electronic medical records
245 ur likelihood-based Markov chain Monte Carlo genealogy sampler LAMARC and compared the two versions f
246 resent a Markov chain Monte Carlo coalescent genealogy sampler, LAMARC 2.0, which estimates populatio
252 can data) selects regions of the genome with genealogies similar to those expected under models of re
255 entiation in light of the reconstructed gene genealogy suggests that the mbuna may be of considerably
258 information for inferences on the population genealogy than simple summary statistics such as the ave
261 the second speciation event and lead to gene genealogies that do not match the species phylogeny.
262 An efficient tool for mining complex inbred genealogies that identify clusters of individuals sharin
268 Here, we use the generating function of genealogies to derive the probability of mutational conf
269 diversity in the two species, we constructed genealogies to infer the evolutionary origin of Z. peren
270 nd records from approximately 4000 ascending genealogies to select individuals whose ancestors lived
271 oach to this test, in which we use the known genealogy to derive a correction factor for the case-con
273 ths of trans-specific alleles on the allelic genealogy to infer phylogenetic relationship among speci
275 tools are available that allow for producing genealogies under arbitrarily complex selective and demo
276 da is a software package that simulates gene genealogies under multiple merger and Kingman's coalesce
277 tor of Kelleher et al. (2014) that simulates genealogies under the continuum model, with an approxima
278 he likelihood of the observed central RRM2P4 genealogy under two alternative views of human evolution
280 ed only weakly despite the shared underlying genealogy, underscoring the importance of divergent muta
281 at is orthogonal to the bonds of kinship and genealogy usually examined by evolutionary biologists.
282 However, fitting epidemiological models to genealogies via coalescent models remains a challenging
283 alogy and then integrating over all possible genealogies via Monte Carlo or, less efficiently, by con
284 erior (empirical) distribution of coalescent genealogies was estimated using Markov chain Monte Carlo
286 escence theory to interpret modern haplotype genealogy, we estimate the origin of the CCR5-Delta32-co
287 possible reconstructions of the recombinant genealogy, weighting according to their posterior probab
288 , is panmictic throughout its range, allelic genealogies were constructed from six single-copy nuclea
289 stent with this recent divergence, some gene genealogies were reciprocally monophyletic between these
290 kelihood methods (designed to handle complex genealogies) were used to determine the heritability of
291 ions are used to integrate over the space of genealogies, whereas other parameters are integrated out
293 oductive isolation is often incomplete, gene genealogies will be discordant, and most regions of the
295 ch subjects and individuals pursuing genetic genealogy will be accessible online, this type of triang
296 Monte Carlo approach to investigate possible genealogies with branch lengths and with migration event
297 escence, as well as the likelihood of a gene genealogy with heterochronous sampling and labeled taxa,
298 rder to compare their substitution rates and genealogy with those of Witheringia maculata and two spe
299 ess of intermediate-frequency alleles, and a genealogy with two common haplotypes separated by deep b
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