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Direct Gene Expression Analysis
Current Pharmaceutical Biotechnology, 2004The direct analysis of single biological molecules is getting increasingly important in basic as well as pharmaceutical research (e.g. for gene expression analysis). In particular single-molecule fluorescence detection provides exciting new opportunities to probe biochemical processes in unprecedented detail.
Holger, Winter +2 more
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Pigment Cell Research, 2000
The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
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The response of cells to extracellular signals usually requires altered expression of many genes, possibly including several distinct metabolic pathways. In some cases, only a subset of genes involved in such responses are known, which requires techniques to analyze changes in the expression of multiple genes, both known and unknown.
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2016
Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio, Bolívar +2 more
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Information on the specificity of cis-sequences enables the design of functional synthetic plant promoters that are responsive to specific stresses. Potential cis-sequences may be experimentally tested, however, correlation of genomic sequence with gene expression data enables an in silico expression analysis approach to bioinformatically assess the ...
Julio, Bolívar +2 more
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2005
Computer analysis of human face images includes detection of faces, identification of people, and understanding of expression. Among these three tasks, facial expression has been the least studied, and most of the past work on facial expression tried to recognize a small set of emotions, such as joy, disgust, and surprise. This practice may follow from
Ying-Li Tian +2 more
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Computer analysis of human face images includes detection of faces, identification of people, and understanding of expression. Among these three tasks, facial expression has been the least studied, and most of the past work on facial expression tried to recognize a small set of emotions, such as joy, disgust, and surprise. This practice may follow from
Ying-Li Tian +2 more
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2009
A brief history of methods used to elucidate protein function, protein pres- ence, and RNA transcript presence is provided. Gene expression profiling through microarray hybridization, high throughput sequencing, or quantitative reverse transcriptase-polymerase chain reaction methods are reviewed and compared.
David S. Skibbe, Virginia Walbot
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A brief history of methods used to elucidate protein function, protein pres- ence, and RNA transcript presence is provided. Gene expression profiling through microarray hybridization, high throughput sequencing, or quantitative reverse transcriptase-polymerase chain reaction methods are reviewed and compared.
David S. Skibbe, Virginia Walbot
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Analysis of Gene‐Expression Data Using J‐Express
Current Protocols in Bioinformatics, 2008AbstractThe J‐Express package has been designed to facilitate the analysis of microarray data with an emphasis on efficiency, usability, and comprehensibility. The J‐Express system provides a powerful and integrated platform for the analysis of microarray gene expression data.
Anne Kristin, Stavrum +3 more
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Bacterial Differential Expression Analysis Methods
2020RNA-Seq examines global gene expression to provide insights into cellular processes, and it can be particularly informative when comparing contrasting physiological states or strains. Although relatively routine in many laboratories, there are many steps involved in performing a transcriptomics experiment to ensure representative and high-quality ...
Sagar, Utturkar +3 more
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2017
Large-scale analysis of gene expression in prostate- cancer using gene expression microarrays has revolutionized our understanding of prostate cancer. By allowing analysis of gene expression changes of tens of thousands of genes simultaneously, this technique has facilitated discovery of key biological alterations in prostate cancer such as the TMPRSS2/
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Large-scale analysis of gene expression in prostate- cancer using gene expression microarrays has revolutionized our understanding of prostate cancer. By allowing analysis of gene expression changes of tens of thousands of genes simultaneously, this technique has facilitated discovery of key biological alterations in prostate cancer such as the TMPRSS2/
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p53-Induced Gene Expression Analysis
2003Researchers in the p53 field have successfully used many high-throughput screening technologies to analyze and characterize p53-induced gene expression. This chapter will focus on one such technology, the Affymetrix GeneChip. DNA-Chip technology has grown rapidly over the last several years.
Joanna K, Sax, Wafik S, El-Deiry
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2015
In this chapter we will overview the main points of gene expression analyses. We will illustrate using Affymetrix gene expression arrays and Illumina RNA-seq reads, but most of the underlying concepts port well to other platforms. Various preprocessing quality control metrics are discussed as well as how to evaluate the quality of the data.
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In this chapter we will overview the main points of gene expression analyses. We will illustrate using Affymetrix gene expression arrays and Illumina RNA-seq reads, but most of the underlying concepts port well to other platforms. Various preprocessing quality control metrics are discussed as well as how to evaluate the quality of the data.
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