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Rob J de Boer

Showing results (71-80 of 153) with videos related to

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Bioinformatics (Oxford, England)|June 22, 2016
RTCR: a pipeline for complete and accurate recovery of T cell repertoires from high throughput sequencing dataBram Gerritsen, Aridaman Pandit, Arno C Andeweg, et al.
Immunogenetics|September 5, 2003
Bioinformatic analysis of functional differences between the immunoproteasome and the constitutive proteasomeCan Kesmir, Vera van Noort, Rob J de Boer, et al.
Plos One|October 25, 2008
The specificity and polymorphism of the MHC class I prevents the global adaptation of HIV-1 to the monomorphic proteasome and TAPBoris V Schmid, Boris Schmid, Can Keşmir, et al.
Plos Computational Biology|February 9, 2010
Explicit kinetic heterogeneity: mathematical models for interpretation of deuterium labeling of heterogeneous cell populationsVitaly V Ganusov, José A M Borghans, Rob J De Boer
Immunology and Cell Biology|April 11, 2007
Spatial modelling of brief and long interactions between T cells and dendritic cellsJoost B Beltman, Athanasius F M Marée, Rob J de Boer
Journal of Immunology (Baltimore, Md. : 1950)|August 14, 2013
The rate of immune escape vanishes when multiple immune responses control an HIV infectionHanneke W M van Deutekom, Gilles Wijnker, Rob J de Boer
European Journal of Immunology|November 25, 2003
Thymic selection does not limit the individual MHC diversityJosé A M Borghans, André J Noest, Rob J De Boer
Plos Computational Biology|May 12, 2025
How are estimated cellular turnover rates influenced by the dynamics of a source population?Arpit C Swain, José A M Borghans, Rob J de Boer
Nature Reviews. Immunology|October 17, 2009
Analysing immune cell migrationJoost B Beltman, Athanasius F M Marée, Rob J de Boer
Plos Computational Biology|December 19, 2014
Immuno-epidemiological modeling of HIV-1 predicts high heritability of the set-point virus load, while selection for CTL escape dominates virulence evolutionChristiaan H van Dorp, Michiel van Boven, Rob J de Boer
Pageof 16

Showing results (71-80 of 153) with videos related to

Sort By:
Pageof 16
Bioinformatics (Oxford, England)|June 22, 2016
RTCR: a pipeline for complete and accurate recovery of T cell repertoires from high throughput sequencing dataBram Gerritsen, Aridaman Pandit, Arno C Andeweg, et al.
Immunogenetics|September 5, 2003
Bioinformatic analysis of functional differences between the immunoproteasome and the constitutive proteasomeCan Kesmir, Vera van Noort, Rob J de Boer, et al.
Plos One|October 25, 2008
The specificity and polymorphism of the MHC class I prevents the global adaptation of HIV-1 to the monomorphic proteasome and TAPBoris V Schmid, Boris Schmid, Can Keşmir, et al.
Plos Computational Biology|February 9, 2010
Explicit kinetic heterogeneity: mathematical models for interpretation of deuterium labeling of heterogeneous cell populationsVitaly V Ganusov, José A M Borghans, Rob J De Boer
Immunology and Cell Biology|April 11, 2007
Spatial modelling of brief and long interactions between T cells and dendritic cellsJoost B Beltman, Athanasius F M Marée, Rob J de Boer
Journal of Immunology (Baltimore, Md. : 1950)|August 14, 2013
The rate of immune escape vanishes when multiple immune responses control an HIV infectionHanneke W M van Deutekom, Gilles Wijnker, Rob J de Boer
European Journal of Immunology|November 25, 2003
Thymic selection does not limit the individual MHC diversityJosé A M Borghans, André J Noest, Rob J De Boer
Plos Computational Biology|May 12, 2025
How are estimated cellular turnover rates influenced by the dynamics of a source population?Arpit C Swain, José A M Borghans, Rob J de Boer
Nature Reviews. Immunology|October 17, 2009
Analysing immune cell migrationJoost B Beltman, Athanasius F M Marée, Rob J de Boer
Plos Computational Biology|December 19, 2014
Immuno-epidemiological modeling of HIV-1 predicts high heritability of the set-point virus load, while selection for CTL escape dominates virulence evolutionChristiaan H van Dorp, Michiel van Boven, Rob J de Boer
Pageof 16