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Applications of high content screening in life science research. (73/1758)

Over the last decade, imaging as a detection mode for cell based assays has opened a new world of opportunities to measure "phenotypic endpoints" in both current and developing biological models. These "high content" methods combine multiple measurements of cell physiology, whether it comes from sub-cellular compartments, multicellular structures, or model organisms. The resulting multifaceted data can be used to derive new insights into complex phenomena from cell differentiation to compound pharmacology and toxicity. Exploring the major application areas through review of the growing compendium of literature provides evidence that this technology is having a tangible impact on drug discovery and the life sciences.  (+info)

Single nucleotide polymorphism discovery in rainbow trout by deep sequencing of a reduced representation library. (74/1758)

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Detection call algorithms for high-throughput gene expression microarray data. (75/1758)

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Artificial neural network--based analysis of high-throughput screening data for improved prediction of active compounds. (76/1758)

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High-throughput single nucleotide polymorphism genotyping using nanofluidic Dynamic Arrays. (77/1758)

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A facile circular dichroism protocol for rapid determination of enantiomeric excess and concentration of chiral primary amines. (78/1758)

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Insights to transcriptional networks by using high throughput RNAi strategies. (79/1758)

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Nanobiocatalysis for protein digestion in proteomic analysis. (80/1758)

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