戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (１語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 endence in Germans (P = 1.94 x 10(-11) for 8-SNP analysis).
2 ; 95% confidence interval, 7.290-382.5 for 8-SNP analysis).
3 data has previously been proposed for single-SNP analysis.
4 ined nominal significance (P<0.01) in single SNP analysis.
5 n help, support for alias names and expanded SNP analysis.
6       Genotypes were determined by PCR-based SNP analysis.
7 re associated with prostate cancer in single SNP analysis.
8 e-scanning method are compared to the single SNP analysis.
9 werful new tool for genome- and global-scale SNP analysis.
10 ate the ability to perform 12-fold multiplex SNP analysis.
11 onoutbreak strains in contrast to wgMLST and SNP analysis.
12 roBase), and single-nucleotide polymorphism (SNP) analysis.
13 genome-based single nucleotide polymorphism (SNP) analysis.
14 d them using single-nucleotide polymorphism (SNP) analysis.
15 imEX-Seq and single nucleotide polymorphism (SNP) analysis.
16  using multi-single nucleotide polymorphism (SNP) analysis.
17 e marker and single nucleotide polymorphism (SNP) analysis.
18  large-scale single nucleotide polymorphism (SNP) analysis.
19 tiplexing in single nucleotide polymorphism (SNP) analysis.
20  then with a single nucleotide polymorphism (SNP)-analysis algorithm designed to separate homoeologue
21                   Other applications include SNP analysis and genotyping.
22                                  Genome-wide SNP analysis and mutation detection of target genes was
23 ations (40-75%) were observed between CNV by SNP analysis and quantitative PCR.
24 provides a powerful new tool for large-scale SNP analysis and screening.
25 When the correlation is low, both individual-SNP analysis and the SNP-set analysis tend to have low p
26                                              SNP analysis and whole-exome sequencing revealed the pre
27  Genome-wide single-nucleotide polymorphism (SNP) analysis and vincristine-induced peripheral neuropa
28  sequencing, single nucleotide polymorphism (SNP) analysis, and a literature review contributed to th
29 e individual single-nucleotide polymorphism (SNP) analysis approach adopted in most current GWAS can
30 ssociation studies (GWASs) based on a single SNP analysis are too simple to elucidate a comprehensive
31              Single-nucleotide polymorphism (SNP) analysis between the two genomes highlighted the mi
32 ere typed by single-nucleotide polymorphism (SNP) analysis, by multilocus variable number tandem repe
33 inkage-disequilibrium-model analysis, single-SNP analysis, cluster-based-parametric analysis, quantit
34 ome bin map of ESTs is a unique resource for SNP analysis, comparative mapping, structural and functi
35 A subsequent single-nucleotide polymorphism (SNP) analysis comparing Iowa to Sheila Smith revealed 49
36 d the presence of specific gene transcripts; SNP analysis demonstrated the presence of 3 fetal transc
37                                    The multi-SNP analysis described here was readily adopted by anoth
38                                     Finally, SNP analysis elucidates the origin of the inversion to S
39 inary gene-positive strains, but genome-wide SNP analysis failed to provide additional associations w
40                                          The SNP analysis for hemicentin-1 on 1q31 suggests that vari
41              Single nucleotide polymorphism (SNP) analysis for transcribed sequences from the C57BL/6
42 and targeted single-nucleotide polymorphism (SNP) analysis from independent groups have demonstrated
43 dies (GWASs), conditional and joint multiple-SNP analysis (GCTA-COJO) has been successful in allowing
44 whole-genome single nucleotide polymorphism (SNP) analysis, high-density microarray SNP genotyping, a
45                                   Locus-wide SNP analysis identified a risk-associated haplotype that
46                                              SNP analysis identified two variants whose allele freque
47                                  Strikingly, SNP analysis in a cohort of 87 patients with unipolar ma
48  in sporadic ALS, we performed a genome-wide SNP analysis in sporadic ALS cases and controls.
49 de screen, a single nucleotide polymorphism (SNP) analysis in the TYR chromosomal region 11q13-q21, a
50                            Known methods for SNP analysis include restriction-fragment-length polymor
51 s predictors of anemia, we conducted a multi-SNP analysis including one SNP from each of the three ge
52                            Haplotype-tagging SNP analysis indicated that 12 SNPs need to be genotyped
53                             Multiple genetic SNP analysis is useful in the prediction of recurrent th
54                  Using methylation-sensitive SNP analysis (MSNP), we surveyed the human genome at 50K
55 ds for amplifying whole-genomic DNA prior to SNP analysis, multiple displacement amplification, and O
56 ping (WGST) for high-resolution phylogenetic SNP analysis of 17 outbreak Apophysomyces isolates and f
57                                 In addition, SNP analysis of a second sample set of banked DNA sample
58    We identified amplification of IGF1R in a SNP analysis of GIST and thus studied its potential as a
59                                              SNP analysis of known transcribed sequences on chromosom
60                                   Additional SNP analysis of RNA-sequencing data of 26 Toxoplasma str
61                                              SNP analysis of rs1199520604 was performed in 100 cases
62                              By whole-genome SNP analysis of the genotype-phenotype correlation, a ca
63                                     Focussed SNP analysis of the human SLIT3 locus in cohorts from UK
64                                         This SNP analysis of the three set genes is thus equally or m
65                                              SNP analysis of this region from two sensitive and two r
66                                 By combining SNP analysis of whole-genome sequences aligned to the JH
67 s performing single nucleotide polymorphism (SNP) analysis of 162 sequences available in the public d
68              Single-nucleotide polymorphism (SNP) analysis of genes located within this region identi
69              Single nucleotide polymorphism (SNP) analysis of human DNA for the purpose of identifica
70 an extensive single nucleotide polymorphism (SNP) analysis of the extended MHC in 237 families with t
71                                    In single-SNP analysis, one of the top SNPs was rs13057866 of LGAL
72                                   Individual SNP analysis performed using the PBAT-GEE program indica
73              Single nucleotide polymorphism (SNP) analysis performed in a whole-genome alignment reve
74 d, and using single nucleotide polymorphism (SNP) analysis, phylogenetic trees were assembled to dete
75                                    Moreover, SNP analysis raises the possibility of individual tumor
76                         A recent genome wide SNP analysis revealed an ancient stable African taurine
77                                   Individual SNP analysis revealed significant associations of rs2193
78                                         Core SNP analysis revealed that closely related IncX4 plasmid
79                                   Individual SNP analysis revealed that SNPs rs17710 and rs222843 in
80              Single-nucleotide polymorphism (SNP) analysis revealed that they included representative
81                          Similarly, multiple-SNPs analysis revealed joint effects of rs2134655, rs172
82                                   The single-SNP analysis showed that the dominant minor allele of rs
83                                   In a multi-SNP analysis, SNPs from the same genes remained signific
84 t, compared to stepwise conditional multiple-SNP analysis, SOJO provided better sensitivity and speci
85       While CEHs appear to be homogeneous by SNP analysis, the nature of fine variations within their
86 entify new outbreaks combined to core genome SNP analysis to characterize the population structure an
87 have improved power over standard individual-SNP analysis under a wide range of settings.
88                                       Single SNP analysis using logistic regression revealed nine SNP
89        Thus, single nucleotide polymorphism (SNP) analysis using RFs is gaining popularity as a poten
90                                        FSTL1 SNP analysis was performed in the COPDGene (Genetic Epid
91                                          The SNP analysis was performed using genome sequence data fr
92                             Our case-control SNP analysis was powered to detect an effect size with O
93  readout for single-nucleotide polymorphism (SNP) analysis was developed employing single base chain
94                   Single nucleotide variant (SNP) analysis was performed using the in-house pipeline.
95                                In individual SNP analysis, we found significant associations for rs35
96 6 confirmed associations in an AMD candidate SNP analysis were filtered, representing a reduction in
97 ur approach has higher power than individual-SNP analysis when the median correlation between the dis
98                     High-density genome-wide SNP analysis will include targets identified by structur
99 be lowered to nanoliters, the possibility of SNP analysis with attomoles of reagents opens up a route
100 ated, low-volume, high-throughput system for SNP analysis with potential applications to relevant for
101 parable to distances from whole-genome-based SNP analysis with similar phylogenetic topology and comp
102 igated using single-nucleotide polymorphism (SNP) analysis with a cut-off of 20 SNPs.
103 iple genetic single nucleotide polymorphism (SNP) analysis would predict recurrent venous thrombosis.

 
Page Top