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Affymetrix Genechip microarrays are used widely to determine the simultaneous expression of genes in a given biological paradigm. Probes on the Genechip array are atomic entities which by definition are randomly distributed across the array…

Genomics · Quantitative Biology 2009-11-13 Radhakrishnan Nagarajan , Meenakshi Upreti

One important preprocessing step in the analysis of microarray data is background subtraction. In high-density oligonucleotide arrays this is recognized as a crucial step for the global performance of the data analysis from raw intensities…

Quantitative Methods · Quantitative Biology 2009-12-08 K. Myriam Kroll , Gerard T. Barkema , Enrico Carlon

In the past couple of years several studies have shown that hybridization in Affymetrix DNA microarrays can be rather well understood on the basis of simple models of physical chemistry. In the majority of the cases a Langmuir isotherm was…

Biomolecules · Quantitative Biology 2007-05-23 T. Heim , J. Klein Wolterink , E. Carlon , G. T. Barkema

We analyze publicly available data on Affymetrix microarrays spike-in experiments on the human HGU133 chipset in which sequences are added in solution at known concentrations. The spike-in set contains sequences of bacterial, human and…

Biomolecules · Quantitative Biology 2011-11-10 T. Heim , L. -C. Tranchevent , E. Carlon , G. T. Barkema

Quantifying interactions in DNA microarrays is of central importance for a better understanding of their functioning. Hybridization thermodynamics for nucleic acid strands in aqueous solution can be described by the so-called…

Biomolecules · Quantitative Biology 2010-01-06 J. Hooyberghs , P. Van Hummelen , E. Carlon

DNA microarrays are a relatively new technology that can simultaneously measure the expression level of thousands of genes. They have become an important tool for a wide variety of biological experiments. One of the most common goals of DNA…

Methodology · Statistics 2013-07-02 Eric Bair

Motivation: Usefulness of analysis derived from Affymetrix microarrays depends largely upon the reliability of files describing the correspondence between probe sets, genes and transcripts. In particular, in case a gene is targeted by two…

Molecular Networks · Quantitative Biology 2012-01-16 Michel Bellis

In this article it is shown how optimized and dedicated microarray experiments can be used to study the thermodynamics of DNA hybridization for a large number of different conformations in a highly parallel fashion. In particular, free…

Biomolecules · Quantitative Biology 2012-11-07 Wahyu W. Hadiwikarta , Jean-Charles Walter , Jef Hooyberghs , Enrico Carlon

Despite the success and popularity of oligonucleotide arrays as a high-throughput technique for measuring mRNA expression levels, quantitative calibration studies have until now been limited. The main reason is that suitable data was not…

Biological Physics · Physics 2007-05-23 Felix Naef , Nicholas D. Socci , Marcelo Magnasco

In a recent paper [Phys. Rev. E 68, 011906 (2003)], Naef and Magnasco suggested that the "bright" mismatches observed in Affymetrix microarray experiments are caused by the fluorescent molecules used to label RNA target sequences, which…

Biomolecules · Quantitative Biology 2007-05-23 E. Carlon , T. Heim , J. Klein Wolterink , G. T. Barkema

Although microarrays are routine analysis tools in biomedical research, they still yield noisy output that often requires experimental confirmation. Many studies have aimed at optimizing probe design and statistical analysis to tackle this…

Quantitative Methods · Quantitative Biology 2015-06-15 Alex E Pozhitkov , Peter A Noble , Jaroslaw Bryk , Diethard Tautz

We analyze a series of publicly available controlled experiments (Latin square) on Affymetrix high density oligonucleotide microarrays using a simple physical model of the hybridization process. We plot for each gene the signal intensity…

Biomolecules · Quantitative Biology 2007-05-23 Enrico Carlon , Thomas Heim

The Affymetrix U95 and U133 Latin Square spike-in datasets are reanalysed, together with a dataset from a version of the U95 spike-in experiment without a complex non-specific background. The approach uses a physico-chemical model which…

Quantitative Methods · Quantitative Biology 2009-11-13 C. J. Burden

Test experiments of hybridization in DNA microarrays show systematic deviations from the equilibrium isotherms. We argue that these deviations are due to the presence of a partially hybridized long-lived state, which we include in a kinetic…

Biomolecules · Quantitative Biology 2010-06-16 J. Hooyberghs , M. Baiesi , A. Ferrantini , E. Carlon

Raman spectroscopy has attracted interest as a non-invasive optical technique to study the composition and structure of a wide range of materials at the microscopic level. The intrinsic fluorescence background can be orders of magnitude…

Materials Science · Physics 2015-10-28 P. J. Cadusch , M. M. Hlaing , S. A. Wade , S. L. McArthur , P. R. Stoddart

High-density oligonucleotide arrays are among the most rapidly expanding technologies in biology today. In the {\sl GeneChip} system, the reconstruction of the target concentration depends upon the differential signal generated from…

Biological Physics · Physics 2009-11-07 Felix Naef , Daniel A. Lim , Nila Patil , Marcelo Magnasco

Affymetrix GeneChip technology is used to detect gene expression levels in samples of cells under different conditions. In this project, we analyzed the gene expression profiling data for mouse induced pluripotent stem cell (iPSCs)…

Genomics · Quantitative Biology 2012-10-12 Wanting Xu

The interaction between proteins and DNA is a key driving force in a significant number of biological processes such as transcriptional regulation, repair, recombination, splicing, and DNA modification. The identification of DNA-binding…

Quantitative Methods · Quantitative Biology 2017-05-10 Hamid Reza Hassanzadeh , Pushkar Kolhe , Charles L. Isbell , May D. Wang

Genetic analysis methods are foundational to advancing personalized and preventative medicine, accelerating disease diagnostics, and monitoring the health of organisms and ecosystems. Current nucleic acid technologies such as polymerase…

Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussians at each pixel [7], to kernel density estimates at each…

Computer Vision and Pattern Recognition · Computer Science 2016-11-17 Manjunath Narayana , Allen Hanson , Erik Learned-Miller
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