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A complete understanding of human cancer variants requires new methods to systematically and efficiently assess the functional effects of genomic mutations at a large scale.
The study of enhancers has been hampered by the scarcity of methods to systematically quantify their endogenous activity.
Presently, there is a lack of methods to systematically screen and analyze design alternatives using a total systems approach.
We have developed quantitative morphological profiling methods to systematically investigate the role of individual genes in the regulation of cell morphology in a fast, robust, and cost-efficient manner.
Professor Thornton has focused specifically on the area of key characteristics -- methods to systematically manage variation risk through the product development process, constraint-based design and design automation methods.
We have recently pioneered methods to systematically investigate how synthetic mechanisms of genome editing, including CRISPR-based single-strand template repair and DNA base editing, interact with endogenous DNA repair networks.
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The other is using computer modeling method to systematically enumerate the theoretical network structures.
Hence, the system can be considered a method to systematically acquire and formalise new knowledge.
Specifically, we analyze the method to systematically reuse and adapt the OpenCL code from GPUs to CPUs.
Therefore, this paper proposes a method to systematically support the conceptual design process from the output of the FSA.
Here, we develop a high-throughput Chromatin ImmunoPrecipitation (HT-ChIP) method to systematically map protein-DNA interactions.
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