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Dick de Ridder

Showing results (131-140 of 141) with videos related to

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Genome Medicine|August 25, 2020
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variationsShuang Li, K Joeri van der Velde, Dick de Ridder, et al.
Blood|June 4, 2014
B-cell prolymphocytic leukemia: a specific subgroup of mantle cell lymphomaVincent H J van der Velden, Patricia G Hoogeveen, Dick de Ridder, et al.
Haematologica|February 18, 2021
The miR-200c/141-ZEB2-TGFβ axis is aberrant in human T-cell prolymphocytic leukemiaStefan J Erkeland, Christiaan J Stavast, Joyce Schilperoord-Vermeulen, et al.
Microbial Cell Factories|March 28, 2012
De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnologyJurgen F Nijkamp, Marcel van den Broek, Erwin Datema, et al.
The Journal of Clinical Investigation|August 3, 2007
Gammaretrovirus-mediated correction of SCID-X1 is associated with skewed vector integration site distribution in vivoKerstin Schwarzwaelder, Steven J Howe, Manfred Schmidt, et al.
The Plant Cell|December 7, 2016
The PLETHORA Gene Regulatory Network Guides Growth and Cell Differentiation in Arabidopsis RootsLuca Santuari, Gabino F Sanchez-Perez, Marijn Luijten, et al.
The Journal of Clinical Investigation|August 9, 2008
Insertional mutagenesis combined with acquired somatic mutations causes leukemogenesis following gene therapy of SCID-X1 patientsSteven J Howe, Marc R Mansour, Kerstin Schwarzwaelder, et al.
Nature Communications|April 30, 2024
Reply to: On the statistical foundation of a recent single molecule FRET benchmarkMarkus Götz, Anders Barth, Søren S-R Bohr, et al.
Nature Communications|September 14, 2022
A blind benchmark of analysis tools to infer kinetic rate constants from single-molecule FRET trajectoriesMarkus Götz, Anders Barth, Søren S-R Bohr, et al.
The Journal of Clinical Investigation|August 3, 2007
Vector integration is nonrandom and clustered and influences the fate of lymphopoiesis in SCID-X1 gene therapyAnnette Deichmann, Salima Hacein-Bey-Abina, Manfred Schmidt, et al.
Pageof 15

Showing results (131-140 of 141) with videos related to

Sort By:
Pageof 15
Genome Medicine|August 25, 2020
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variationsShuang Li, K Joeri van der Velde, Dick de Ridder, et al.
Blood|June 4, 2014
B-cell prolymphocytic leukemia: a specific subgroup of mantle cell lymphomaVincent H J van der Velden, Patricia G Hoogeveen, Dick de Ridder, et al.
Haematologica|February 18, 2021
The miR-200c/141-ZEB2-TGFβ axis is aberrant in human T-cell prolymphocytic leukemiaStefan J Erkeland, Christiaan J Stavast, Joyce Schilperoord-Vermeulen, et al.
Microbial Cell Factories|March 28, 2012
De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnologyJurgen F Nijkamp, Marcel van den Broek, Erwin Datema, et al.
The Journal of Clinical Investigation|August 3, 2007
Gammaretrovirus-mediated correction of SCID-X1 is associated with skewed vector integration site distribution in vivoKerstin Schwarzwaelder, Steven J Howe, Manfred Schmidt, et al.
The Plant Cell|December 7, 2016
The PLETHORA Gene Regulatory Network Guides Growth and Cell Differentiation in Arabidopsis RootsLuca Santuari, Gabino F Sanchez-Perez, Marijn Luijten, et al.
The Journal of Clinical Investigation|August 9, 2008
Insertional mutagenesis combined with acquired somatic mutations causes leukemogenesis following gene therapy of SCID-X1 patientsSteven J Howe, Marc R Mansour, Kerstin Schwarzwaelder, et al.
Nature Communications|April 30, 2024
Reply to: On the statistical foundation of a recent single molecule FRET benchmarkMarkus Götz, Anders Barth, Søren S-R Bohr, et al.
Nature Communications|September 14, 2022
A blind benchmark of analysis tools to infer kinetic rate constants from single-molecule FRET trajectoriesMarkus Götz, Anders Barth, Søren S-R Bohr, et al.
The Journal of Clinical Investigation|August 3, 2007
Vector integration is nonrandom and clustered and influences the fate of lymphopoiesis in SCID-X1 gene therapyAnnette Deichmann, Salima Hacein-Bey-Abina, Manfred Schmidt, et al.
Pageof 15