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1 rmative datasets (e.g. physical, optical and genetic maps).
2 rganized around a physical map anchored to a genetic map.
3 enced 192 segregants to generate an accurate genetic map.
4 which were in good agreement with the NCCCWA genetic map.
5 ch representing on average <3% of the barley genetic map.
6 4, on the reference 'TM-1' x 'Pima 3-79' RIL genetic map.
7 for expected linkage disequilibrium using a genetic map.
8 d BAC-to-BAC sequences and a high-resolution genetic map.
9 ated the genomic contigs with a high-density genetic map.
10 l for comparing BAC-based physical maps with genetic maps.
11 uickly improve marker order and placement on genetic maps.
12 ination with optical, chromosome-contact and genetic maps.
13 and as a resource to produce high-resolution genetic maps.
14 de CRM was constructed from 28 public cotton genetic maps.
15 localizing these effects on high-resolution genetic maps.
16 of the relationship between the physical and genetic maps.
17 gle-molecule reads integrated to genomic and genetic maps.
18 AC)-end sequences and genotype-by-sequencing genetic maps.
19 vels in S. latifolia PAR genes identified by genetic mapping.
20 contain a translocation when analyzed using genetic mapping.
21 slocations: pollen viability and genome-wide genetic mapping.
22 orse collections for phenotypic screening or genetic mapping.
23 el system to conduct high-density functional genetic mapping.
24 etic screens usually involves time-consuming genetic mapping.
25 ocessing and quantitative analysis and their genetic mapping.
30 le-genome simple sequence repeat (SSR)-based genetic map and on mapping sex determination as two qual
32 The assembly was anchored to a 992-locus genetic map and was annotated by comparison with >1.3 mi
34 in the pen1-1 genetic background as well as genetic mapping and characterization of the Arabidopsis
41 transmitted dominantly to her offspring, and genetic mapping and genome sequencing revealed a new mut
42 the development of powerful populations for genetic mapping and genome-wide association studies (GWA
51 se gene silencing, gene expression analysis, genetic mapping and population genomics to study the gen
53 in the suppressor mutants were identified by genetic mapping and re-sequencing of the mutant genomes.
56 mal recessive syndrome of neonatal diabetes, genetic mapping and subsequent sequencing identified mut
57 ure of human diseases governs the success of genetic mapping and the future of personalized medicine.
58 ased experimental data, involving systematic genetic mapping and whole-genome sequencing, to generate
60 h large-scale cDNA analyses, construction of genetic maps and gene mapping studies aiming to link phe
61 lity of SLAF markers for rapid generation of genetic maps and QTL analysis has been demonstrated for
63 finium SNP array, constructed a 7,185-marker genetic map, and anchored on the map contigs totaling 4.
64 tudy we combined next-generation sequencing, genetic mapping, and a set of physiological traits of th
66 r the array, 4.5% were markers from existing genetic maps, and 61% were selected based on distributio
67 rtificial chromosome libraries, physical and genetic maps, and molecular markers, combined with genet
74 ifers have recently been produced, but dense genetic maps are needed to comprehend genome macrostruct
79 on of a single-nucleotide polymorphism-based genetic map at the F4 stage of the mapping population.
80 00 meioses and have constructed sex-specific genetic maps at a previously unachievable resolution.
82 ap between markers D3Mit147 and D3Mit19 on a genetic map, but the physical map places RPE65 outside t
83 ed reliably and used to generate a SNP-based genetic map by genotyping recombinant inbred lines from
85 Here we present a statistical framework for genetic mapping by utilizing collective information in b
88 g the gap between large-scale and fine-scale genetic mapping, can reveal new features of the recombin
89 R) framework map, we produced a high-density genetic map comprising over 600 SFPs, GEMs and SSRs.
91 SSLPs were genotyped, yielding a 2886-marker genetic map consisting of 10 major linkage groups betwee
93 approach was used to develop SNP markers for genetic map construction, and quantitative trait loci (Q
95 ibrium methodology to generate an integrated genetic map containing 4,817 SNPs, which spanned a total
96 bled the construction of two high-resolution genetic maps containing 1832 and 1773 markers with an av
100 ese results prompted an analysis of existing genetic mapping data, which showed that meiotic reciproc
103 rphisms (SNPs) have become popular tools for genetic mapping, discovery and application of SNPs in po
104 , which provides almost a 4-fold increase in genetic map distance compared with conventional mapping
105 easure and susceptible to confounding during genetic mapping due to correlation with flowering and su
106 The strategies presented are applicable to genetic mapping efforts in all plant species with simila
109 portance, several computational solutions to genetic map estimation exist, mostly implemented as stan
110 holds great promise to extend the utility of genetic mapping, even when QTL effects are modest or com
111 onal phenomenon that we observed through our genetic mapping experiments was that the T-DNA junctions
118 are fewer tools available which can display genetic maps for less well-characterized species, and in
120 estimate and test these parameters within a genetic mapping framework using a new powerful computati
122 eloped methodology to construct a fine-scale genetic map from high-throughput sequence data from 10 W
123 ide polymorphisms (SNPs) were identified for genetic mapping from rp2 P450s and other genes revealing
124 e that encodes PRDM9, we inferred fine-scale genetic maps from population resequencing data for two b
125 d sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications a
126 genomewide data sets, such as errors in the genetic map, haplotype phase uncertainty, and SNP ascert
127 massively parallel sequencing technologies, genetic mapping has become the rate limiting step in mam
128 ailability of whole-genome sequencing (WGS), genetic mapping has become the rate-limiting step, inhib
136 ome Database include comprehensive update of genetic maps, implementation of new classification terms
138 demonstrate that utilization of the revised genetic map improves QTL mapping, partially due to the r
141 , we performed sequenced-based, high-density genetic mapping in F2 hybrids between synthetic and natu
143 resent MULTIPOOL, a computational method for genetic mapping in model organism crosses that are analy
145 oach that localizes causal variants based on genetic maps in linkage disequilibrium units (LDU maps).
147 ure, CloudMap allows users to sharply define genetic map intervals graphically and to retrieve very s
154 ed by one parameter, the ratio between total genetic map length (G) and physical map length (P), meas
156 ombining pseudo-autosomal region (PAR) whose genetic map length is approximately 25 cM in both male a
157 0), the parameter k predicts the increase of genetic map length over the increase of physical map len
158 he effect of variant density, conditional on genetic map length, on the power to resolve IBD segments
162 European ancestry in the Americas to build a genetic map measuring the probability of crossing over a
164 cent genomic studies have provided a refined genetic map of acute lymphoblastic leukemia (ALL) and in
167 Our project has patched the hole in the genetic map of Eurasia: we demonstrated complexity of ge
171 se population and have constructed a revised genetic map of the mouse genome, incorporating 10,195 si
175 e reference genome sequence was validated by genetic mapping of 54,000 SNPs, and annotated with 26,66
180 in these half-tetrad individuals allowed the genetic mapping of all 19 centromeres of the Brassica A
181 od 1950-1970, groundbreaking research on the genetic mapping of Chlamydomonas reinhardtii and the use
183 Together, these results make clear that genetic mapping of complex phenotypes is within reach, e
184 f genome-wide association studies (GWAS) for genetic mapping of complex traits, most existing GWAS me
188 ration of these various data sets enable the genetic mapping of many new phenotypes and facilitates t
189 e analysis was the primary tool used for the genetic mapping of Mendelian and complex traits with fam
191 re, and suggest the potential of the VRC for genetic mapping of quantitative trait loci underlying su
194 characterized in Drosophila melanogaster by genetic mapping of resistance to the cyclodiene dieldrin
196 ses, this result is consistent with previous genetic mapping of teratoma susceptibility loci to the r
198 al data, we used codominant genic markers in genetic mapping of the dioecious plant Silene latifolia,
200 The target link to GyrB was confirmed by genetic mapping of the mutations conferring resistance t
201 In the current study we carried out further genetic mapping of this latency phenotype and investigat
203 tic basis for differential responses through genetic mapping of V2O5-induced lung collagen content in
207 The implications of this strategy for the genetic maps of human, mouse, rat, chicken, honeybee, wo
211 bined multiple data sets to build integrated genetic maps of the M. guttatus species complex (section
213 interactions between segments distant on the genetic map on contact frequencies determined experiment
216 hat the F3'5'H gene cosegregates with b in a genetic mapping population, strongly support our hypothe
221 We developed a next-generation computational genetic mapping program with advanced features to identi
224 = 22), the use of transcript-derived SNPs in genetic maps provides opportunities for automated genoty
225 nted the most promising candidate traits for genetic mapping related to BP based on strong heritabili
228 mately 70 and 90% of the total F. virginiana genetic map resides within 10 and 20 cM of a marker on t
230 urthermore, our gene-expression analysis and genetic mapping results suggest that cis-regulatory chan
236 We conducted a systematic study including genetic mapping, sequencing, and functional analyses to
240 Studio facilitates the visual comparison of genetic map solutions from third party software, aiding
241 hese, 928 were incorporated into a consensus genetic map spanning 680 cM with 11 linkage groups and a
246 eous and large enough to permit well-powered genetic mapping studies of quantitative traits relevant
248 se mechanisms of NS are not well understood, genetic mapping studies suggest a multitude of unknown s
250 at reproductive traits should be amenable to genetic mapping studies, and the results we present here
251 digrees offer many well-known advantages for genetic mapping studies, including cost-efficient study
253 the evidence for pleiotropy in contemporary genetic mapping studies, new and established analytical
254 teractions (HGIs) are difficult to detect in genetic mapping studies, therefore, few examples of them
257 diseases in humans, causal loci uncovered by genetic-mapping studies explain only a minority of the h
259 ial benefits of using population isolates in genetic mapping, such as reduced genetic, phenotypic and
261 t any kind of available information, such as genetic map symbols, soybean gene names or phenotypic tr
262 tations in the fly genome by combining rough genetic mapping, targeted DNA capture, and second genera
263 rabidopsis thaliana populations suitable for genetic mapping that have constitutively reduced HSP90 l
265 In combination with the high-resolution genetic map, the draft genome paves the way for better m
268 ckcross design, we performed high-resolution genetic mapping to determine the genetic architecture of
270 , but previous applications involved tedious genetic mapping to pinpoint the causative mutations.
271 integrated it with physical and high-density genetic maps to create a chromosome-scale draft sequence
272 RDN1 gene, Medtr5g089520, was identified by genetic mapping, transcript profiling, and phenotypic re
275 report a fast and cost-effective method for genetic mapping using next-generation sequencing that co
278 comparing whole genome polymorphism data and genetic maps using a coalescent modeling framework, we e
279 ility of the integration of the physical and genetic maps using this SNP-based strategy is described,
285 ning transcriptome, iTRAQ-based proteome and genetic mapping was taken to compare the ovules of the X
286 By anchoring the S. pennellii genome to the genetic map, we define candidate genes for stress tolera
287 cent developments in parallel computing, and genetic mapping, we derive, de novo, a sequence assembly
289 whole genome SNP database and computational genetic mapping were used to analyze the murine genetic
291 terspecific Gossypium hirsutumxG. barbadense genetic maps were used for assembling a high density con
293 omes resulted in the de novo construction of genetic maps which were in good agreement with the NCCCW
294 A high level of synteny was found with pine genetic maps, which should facilitate the transfer of st
295 e divide the genome into windows of constant genetic map width and then tabulate the number of distin
296 ility of a high-quality sequence anchored to genetic maps will accelerate the identification of genes
299 e diploid D genome and the tetraploid cotton genetic map, with only a few minor possible structural r
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