Sentences with phrase «of microarray»

B. Heatmap depicts normalized intensities of microarray probes contained in promoters (at most one per promoter) that best differentiate between CPA and control groups.

We assessed the ability of a commercial DNA microarray to characterize bovine Shiga toxin - producing Escherichia coli (STEC) isolates and evaluated the results using in silico hybridization of the microarray probes within whole genome sequencing scaffolds.

Normalisation and statistical analysis of microarray data was performed in R using the Bioconductor packages Limma, Affy and BeadExplorer.

In this study, we investigated the putative association between XMRV and prostate cancer using a combination of microarray, PCR, FISH, serological, and deep sequencing approaches.

Their newly developed statistical methods promise to enhance the power of microarray technology to identify sets of genes that cause disease, trigger developmental processes and allow individuals to respond to drugs.

A, Hierarchical clustering and correlation coefficients of microarray profiles of triplicate iPSC1, iPSC2, CytES (Cyt25 hESC), Hues6 and NSC.

Koschmann, J., Bhar, A., Stegmaier, P., Kel, A. E. and Wingender, E. Upstream Analysis: An integrated promoter - pathway analysis approach to causal interpretation of microarray data.

Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray (19,394 human proteins) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarray images.

Application of microarray analysis to the investigation of host - pathogen interactions.

Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray (~ 75 % of the human proteome) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarray images.

At Berkeley, she developed computationally intensive statistical methods for the analysis of microarray data with applications in cancer biology.

The results, which will appear in the Journal of Microbiological Methods, make it clear that the methods used to isolate RNA can have a significant impact on the variability, trend, and accuracy of microarray data.

Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarray images.

Microarray Analysis: Anti-Human SMAD4 (clone R516.2.1 D12) specificity was evaluated using CDI HuProt ™ Human Proteome Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarray images.

Affymetrix Expression Console Software (version 1.0) was used to perform quality assessment of the microarray scan / experiments.

In addition, analysis of the microarray results obtained with RNA from the optimized protocol showed that, as expected, the genes involved in methane production (methanogenesis) were among the most highly expressed genes in M. barkeri.

The raw data as well as the processed data of the microarray were deposited under Gene Expression Omnibus (GEO)(http://www.ncbi.nlm.nih.gov/geo) accession number GSE87159.

GOMiner — To provide additional statistical stringency to the identification of potential targets, we then analyzed the data sets generated by the SAM - RS analysis of the microarray data for hypoxia - associated coregulation of multiple, functionally related genes.

The advent of microarray technology, with its capacity to monitor the expression of thousands of genes simultaneously, has provided a novel opportunity to identify individual genes, groups of genes, and related «gene families» associated with a given biologic process.

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer - associated genes.

This approach combines the molecular recognition that occurs on the surface of a microarray and the pattern recognition traditionally done by an electronic computer into a single step.

The only surgery needed for Rezai and Bouton's neural bypass system is implantation of the microarray in the brain.

One of these, his most influential, outlines his original use of microarray expression profiles as a phenotypic footprint for gene function.

In the relatively young field of microarrays, technical positions are never mundane or boring, because there are always opportunities to evaluate and refine new techniques and protocols as they become available.

However, the applications of microarrays also extend beyond the boundaries of basic biology into diagnostics, environmental monitoring, and pharmacology.

Because of uncertainties about the orientation of DNA fragments, workers inadvertently jumbled some of the microarrays.

Significance analysis of microarrays (SAM) analysis led to the identification of 68 differentially methylated regions (DMRs) representing a bCSCs DMR signature.

The reduction of Kap1 by IVC agrees with previous results of microarrays, wherein using a list of murine IAP elements, it was observed that several of the probes analyzed were intensely up - regulated in IVC [7].

Sum normalization of microarrays was performed using the background - subtracted intensities corresponding to the 4,672 viral probes in common between the v2.0 and v5.0 ViroChip designs.

Not exact matches

In the microarray experiment, the range in relative abundances of the 500 most highly expressed genes is very narrow (Figure 1 inset), especially in contrast to RNA - Seq technology (Figure 1).

However, microarray analysis is only capable of measuring the status of known transcripts, and expression of low - abundance mRNAs is often not detected by the hybridization - based approach.

The panel can be used as a tool kit for screening and profiling of functional lncRNAs, or as an accurate quantification to validate functional lncRNAs in microarray or RNA - sequencing data.

Larger biomarker signatures can be detected with technology from CDI Laboratories, which offers microarrays of functional human proteins (over 20,000 on a single array) to test the antibodies present in human liquid biopsy samples, such as blood, serum, plasma, CSF, or tissue lysates.

Eager to sort through the pile of curriculum vitae's on his desk, Rudnicki is particularly looking for molecular geneticists working on different stem cell systems; scientists with genomics bents like proteomics, microarray analysis, and bioinformatics; and a couple of clinician scientists.

The technology for genome - wide profiling using microarrays was newly available, and with it came tremendous excitement, parallel to the mapping of the human genome.

The foil - based measuring chip uses the microarray analysis platform MCR of the Munich company GWK GmbH.

Whether you are studying the expression of thousands of genes simultaneously using DNA microarrays, or the interaction of multiple molecules to understand intercellular signalling, the skills that will help you understand your findings are statistics, computational techniques, and modelling — so all you really need is a mathematician.

The scientists then scanned the samples using microarray technology, which cuts genetic material into segments to provide a snapshot of which genes are active and which are asleep inside the cells.

This study, published in the journal Microarrays, shows that lack of SOST in the bone microenvironment promotes the expression of many genes associated with cell migration and / or invasion, including long non-coding RNA MALAT1 in prostate cancer, suggesting that SOST has an inhibitory effect on prostate cancer invasion.

Headquartered in San Diego, California, Illumina develops microarray technologies used in large - scale analysis of genetic variation and function.

Last July, Perls and Sebastiani told Science that they were unaware of problems in the microarrays and were working hard to verify their results.

On a study funded by the National Science Foundation and Agilent Technologies, researchers employed spatial light interference microscopy (SLIM), a label - free method, to perform localized measurements of light scattering in prostatectomy tissue microarrays.

He worked there for 3 years, continuing his research on telomeres and pioneering the microarray techniques that form the basis of his international reputation.

As ICREA Prof. at ICFO Valerio Pruneri comments «the device means a major step forward for light microscopy techniques, especially for microarray platforms since it could definitely be used as a point - of - care tool in the diagnosis and treatment of major diseases such as Sepsis, a critical area where fast and accurate results can translate into life changing health outcomes for individuals.

Hughes's winning research proposed using microarray techniques to compare the genomes of a variety of vertebrate animals to test for common regulatory elements that determine gene expression.

Gene microarrays, which measure expression of dozens of genes at once, can be fickle and supply inconsistent results.

The Emory team used high density microarrays to probe more than 900,000 sites across the human genome to detect structural variation, including deletions or duplications of DNA.

Microarrays have revolutionised functional genomics for biologists in much the same way as the microprocessor revolutionised the world of computing science.

DNA microarrays consist of thousands of spots contained on a single 1 x 3 inch glass slide, each spot representing a different gene.

Working at a microarray core facility is not where many of us thought we would be today, simply because microarrays were not as popular (or even around!)