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1                                 We developed quantitative gene assembly and DNA library insertion int
2                         Applying an advanced quantitative gene-by-environment interaction analysis wh
3                                              Quantitative gene content analysis reveals habitat-speci
4                                              Quantitative gene conversion assays show that this SNP a
5                    Little is known regarding quantitative gene expression (QGE) of the LMNA gene in b
6 opathologic observations were verified using quantitative gene expression analyses examining gob5 gen
7 ic cell culture and fluorescence microscopy, quantitative gene expression analysis and mathematical m
8                                              Quantitative gene expression analysis of PDI, BiP, bZIP6
9                    The results obtained from quantitative gene expression analysis of region-specific
10 uorescence measurements, immunolabeling, and quantitative gene expression analysis point to S. oneide
11 of captured target DNA and therefore permits quantitative gene expression analysis.
12  of ultrasensitive DNA biosensors capable of quantitative gene expression analysis.
13  acute phase and detoxification responses in quantitative gene expression and (phospho-)proteomics da
14                           Using whole-genome quantitative gene expression as a model, here we study h
15     This study validated the use of a robust quantitative gene expression assay to detect immune and
16 lity of seven microarray platforms and three quantitative gene expression assays in profiling the exp
17 ndorf and the National Cancer Institute, and quantitative gene expression assays included TaqMan Gene
18                                 We developed quantitative gene expression assays to assess recurrence
19 esented here are various examples to present quantitative gene expression data using this method.
20              Here we report, on the basis of quantitative gene expression data, substantial anterior
21 anging from qualitative trait information to quantitative gene expression data, which vary among inbr
22 s used to infer regulatory interactions from quantitative gene expression data.
23 f flagellar biosynthesis in E. coli based on quantitative gene expression data.
24 or focused investigations of qualitative and quantitative gene expression differences between humans
25 amily-based sample of 14 human families, for quantitative gene expression dissection, and a sample of
26          Two different methods of presenting quantitative gene expression exist: absolute and relativ
27  can now serve as new data sources to obtain quantitative gene expression information.
28 uction of gene regulatory networks with full quantitative gene expression information.
29 nstream analyses, especially those requiring quantitative gene expression information.
30 y data set has been validated by alternative quantitative gene expression platforms thus supporting t
31 rom five different inbred lines of mice with quantitative gene expression profiling in normal brains
32 al analysis of six inbred mouse strains with quantitative gene expression profiling of several brain
33                                              Quantitative gene expression profiling reveals that the
34                                              Quantitative gene expression revealed that zonulin is ov
35 ascent RNA transcripts and yields predictive quantitative gene expression signatures.
36                                              Quantitative gene expression studies using laser capture
37  overview of the comparative C(T) method for quantitative gene expression studies.
38 ted the performance characteristics of three quantitative gene expression technologies and correlated
39         We observed high correlation between quantitative gene expression values and microarray platf
40    Here, we combine in vitro ligand binding, quantitative gene expression, protein-DNA interaction an
41                                            A quantitative gene expression-based assay reveals that tp
42                                              Quantitative gene-expression analyses showed a correspon
43 ltimate goal of delivering calibrated, truly quantitative gene-expression measurements on a genomic s
44 d used to obtain comprehensive, unbiased and quantitative gene-expression profiles.
45 ve developed a new microarray technology for quantitative gene-expression profiling on the basis of r
46         We report a flexible, sensitive, and quantitative gene-expression profiling system for assayi
47 ikely via PTB in order to accurately capture quantitative gene interaction dynamics and correctly pre
48 agent effects for each gene, ATARiS produces quantitative, gene-level phenotype values, which provide
49 ination is likely to be a general feature of quantitative gene regulation in a chromatin context.
50     Supporting the essential role of GluN2B, quantitative gene-tagging revealed a fourfold molar exce