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High-content screening technology is mainly based on automated digital microscopy and flow cytometry, in combination with IT-systems for the analysis and storage of the data. “High-content” or visual biology technology has two purposes, first to acquire spatially or temporally resolved information on an event and second to automatically ...
In high-throughput screening (HTS), one of the major goals is to select compounds (including small molecules, siRNAs, shRNA, genes, et al.) with a desired size of inhibition or activation effects. A compound with a desired size of effects in an HTS screen is called a hit.
Classical High throughput screening robotics are now being tied closer to cell biology, principally using technologies such as High-content screening.High throughput cell biology dictates methods that can take routine cell biology from low scale research to the speed and scale necessary to investigate complex systems, achieve high sample size, or efficiently screen through a collection.
High-throughput screening (HTS) is a method for scientific discovery especially used in drug discovery and relevant to the fields of biology, materials science [1] and chemistry. [ 2 ] [ 3 ] Using robotics , data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to ...
The tandem affinity purification (TAP) method allows the high-throughput identification of proteins interactions. In contrast with the Y2H approach, the accuracy of the method can be compared to those of small-scale experiments (Collins et al., 2007) and the interactions are detected within the correct cellular environment as by co-immunoprecipitation.
It was published by the FGED Society in 2001 and was the first published minimum information standard for high-throughput experiments in the life sciences. MIAME contains a number of extensions to cover specific biological domains, including MIAME-env, MIAME-nut and MIAME-tox, covering environmental genomics, nutritional genomics and ...
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High Resolution Melt (HRM) analysis is a powerful technique in molecular biology for the detection of mutations, polymorphisms and epigenetic differences in double-stranded DNA samples. It was discovered and developed by Idaho Technology and the University of Utah. [1] It has advantages over other genotyping technologies, namely: