CORDIS Project
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This project focuses on extracting meaningful information from large protein sequence datasets by collaborating with both theorists and experimentalists. It aims to develop advanced techniques for inferring protein structures and functions, ultimately enhancing our understanding of protein engineering and its applicati…
Across natural science, experimental techniques that generate large and inherently noisy datasets are currently being developed.
As these techniques gain popularity, the potential impact of inference methods that enable useful information to be extracted from the resulting data is large.
However, different experiments generate datasets that are afflicted by different types of noise, and require different analysis methods.
In particular while the development of general theoretical tools is import…
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