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Generation Sequencing (NGS, also known as Massively Parallel Sequencing) has revolutionized molecular genetic research and clinical diagnostics over the past decade. Appropriately scaled, this technology can
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allows simultaneous rheological and structural measurements in the flow-vorticity (1-3 plane) and shear gradient-vorticity (2-3 plane) planes where the incident beam is parallel to the shear gradient and
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images. However, the current limitations of desktop computers in terms of memory, disk storage and computational power, and the lack of image processing algorithms for advanced parallel and distributed
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that combine parallel architectures (i.e., GPUs or accelerator boards, clusters) and numerical algorithms suited to such architectures with the goal of improving the speed of convergence and the stability
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the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
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these complex communities by developing sample preparation techniques that are compatible with NMR and mass spectrometry-based techniques. This will allow parallel multimodal analysis including proteomic
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less). To address this technological bottleneck, we are developing a new technology platform--next gen protein sequencing--based on large-scale, massively parallel, single-molecule peptide sequencing
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molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM). Specifically, we achieved sub-pN force precision and
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scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in
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parallel, low-cost analysis systems that do not rely on optical or aptamer-based labels. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in detail