Jeroen de Ridder
Jeroen de Ridder
Associate professor University Medical Center Utrecht
Verified email at - Homepage
Cited by
Cited by
The deubiquitinase USP9X suppresses pancreatic ductal adenocarcinoma
PA Pérez-Mancera, AG Rust, L Van Der Weyden, G Kristiansen, A Li, ...
Nature 486 (7402), 266-270, 2012
Chromatin position effects assayed by thousands of reporters integrated in parallel
W Akhtar, J de Jong, AV Pindyurin, L Pagie, W Meuleman, J de Ridder, ...
Cell 154 (4), 914-927, 2013
From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy
FJ Rang, WP Kloosterman, J de Ridder
Genome biology 19 (1), 1-11, 2018
Large-scale mutagenesis in p19ARF-and p53-deficient mice identifies cancer genes and their collaborative networks
AG Uren, J Kool, K Matentzoglu, J de Ridder, J Mattison, M van Uitert, ...
Cell 133 (4), 727-741, 2008
Insertional mutagenesis identifies multiple networks of cooperating genes driving intestinal tumorigenesis
HN March, AG Rust, NA Wright, J ten Hoeve, J de Ridder, M Eldridge, ...
Nature genetics 43 (12), 1202, 2011
Mapping and phasing of structural variation in patient genomes using nanopore sequencing
MC Stancu, MJ Van Roosmalen, I Renkens, MM Nieboer, S Middelkamp, ...
Nature communications 8 (1), 1-13, 2017
Computational pan-genomics: status, promises and challenges
Briefings in bioinformatics 19 (1), 118-135, 2018
Detecting statistically significant common insertion sites in retroviral insertional mutagenesis screens
J De Ridder, A Uren, J Kool, M Reinders, L Wessels
PLoS Comput Biol 2 (12), e166, 2006
Enhancer hubs and loop collisions identified from single-allele topologies
A Allahyar, C Vermeulen, BAM Bouwman, PHL Krijger, MJAM Verstegen, ...
Nature genetics 50 (8), 1151-1160, 2018
Identification of cancer genes using a statistical framework for multiexperiment analysis of nondiscretized array CGH data
C Klijn, H Holstege, J de Ridder, X Liu, M Reinders, J Jonkers, L Wessels
Nucleic acids research 36 (2), e13-e13, 2008
Chromatin landscapes of retroviral and transposon integration profiles
J de Jong, W Akhtar, J Badhai, AG Rust, R Rad, J Hilkens, A Berns, ...
PLoS Genet 10 (4), e1004250, 2014
PAX5 is a tumor suppressor in mouse mutagenesis models of acute lymphoblastic leukemia
J Dang, L Wei, J De Ridder, X Su, AG Rust, KG Roberts, D Payne-Turner, ...
Blood 125 (23), 3609-3617, 2015
Pattern recognition in bioinformatics
D de Ridder, J de Ridder, MJT Reinders
Briefings in bioinformatics 14 (5), 633-647, 2013
Genome wide DNA methylation profiles provide clues to the origin and pathogenesis of germ cell tumors
MA Rijlaarsdam, DMJ Tax, AJM Gillis, LCJ Dorssers, DC Koestler, ...
PLoS One 10 (4), e0122146, 2015
Novel candidate cancer genes identified by a large-scale cross-species comparative oncogenomics approach
J Mattison, J Kool, AG Uren, J De Ridder, L Wessels, J Jonkers, ...
Cancer research 70 (3), 883-895, 2010
FERAL: network-based classifier with application to breast cancer outcome prediction
A Allahyar, J De Ridder
Bioinformatics 31 (12), i311-i319, 2015
Hi-C chromatin interaction networks predict co-expression in the mouse cortex
S Babaei, A Mahfouz, M Hulsman, BPF Lelieveldt, J de Ridder, ...
PLoS Comput Biol 11 (5), e1004221, 2015
Insertional mutagenesis in mice deficient for p15Ink4b, p16Ink4a, p21Cip1, and p27Kip1 reveals cancer gene interactions and correlations with tumor phenotypes
J Kool, AG Uren, CP Martins, D Sie, J De Ridder, G Turner, M Van Uitert, ...
Cancer research 70 (2), 520-531, 2010
Detecting recurrent gene mutation in interaction network context using multi-scale graph diffusion
S Babaei, M Hulsman, M Reinders, J de Ridder
BMC bioinformatics 14 (1), 1-12, 2013
The genetic heterogeneity and mutational burden of engineered melanomas in zebrafish models
J Yen, RM White, DC Wedge, P Van Loo, J de Ridder, A Capper, ...
Genome biology 14 (10), 1-14, 2013
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