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van den Berg, B.A. (author), Thornton, JM (author), Reinders, M.J.T. (author), de Ridder, D. (author), Beer, TAP (author)
Our aim is to prioritize human missense mutations by their probability of being disease causing. Such a computational method could be used to obtain a reduced set of mutations with a relatively large fraction of disease related mutations, thereby aiding in the search for this type of mutation within a large mutation set.<br/><br/>Whereas a range...
poster 2013
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Babaei, S. (author), Hulsman, M. (author), Reinders, M.J.T. (author), de Ridder, J. (author)
We introduce a multi-scale kernel diffusion framework and apply it to a large collection of murine retroviral insertional mutagenesis data. The diffusion strength plays the role of scale parameter. As a result, in addition to detecting genes with frequent mutations in their genomic vicinity (red nodes in the interaction graph) we can also find...
poster 2012
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van den Berg, B.A. (author), Reinders, M.J.T. (author), Pel, HJ (author), Roubos, J.A. (author), de Ridder, D. (author)
poster 2012
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van den Berg, B.A. (author), Reinders, M.J.T. (author), Pel, HJ (author), Wu, L (author), Roubos, J.A. (author), de Ridder, D. (author)
Aspergillus niger is widely used for industrial enzyme production. Knowledge on high-level protein secretion could be useful to improve production rates. We used sequencebased classification methods to identify important properties<br/>for successful high-level secretion, which will be used to redesign proteins for improved secretion.
poster 2011
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