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Data transformation, high-throughput

Many potential sources of variability and error in high-throughput biological experiments can make it difficult to distinguish the causes of phenotypic differences. In this chapter we discuss methods of data transformation and normalization that can be used in order to distinguish meaningful biological variability from technical error. [Pg.57]

The recent development of high-throughput omics technologies is transforming the type and quantity of information available, profoundly affecting many disciplines and creating the necessity to develop novel tools to handle big data. To this aim, molecular informatics has gradually developed into a field that uses... [Pg.312]

Fourier transform infrared spectroscopy (FTIR) is a useful way to confirm the presence of a desired functional transformation in a solid phase reaction. A high throughput diffuse reflectance infrared FT (DRIFT) technique allows spectra of beads to be collected without the need for KBr pelleting [9] and is reported to yield better data in the OH spectral region [10]. But a similar improvement in quality of spectra for... [Pg.33]

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Data transformation

High-throughput

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