Jansen, Prof. Ritsert
Ritsert Jansen is professor of bio-informatics and head of the Groningen Bioinformatics Centre. Jansen studied mathematics at the University of Groningen and then went to work for a research institute in Wageningen. The advent of new biomolecular tools led him to develop new statistical tools for mapping QTLs (‘quantitative trait loci’, stretches of DNA containing or linked to the genes that underlie a quantitative trait) in plants, and this research formed the basis of his PhD thesis. In 2002, he returned to the University of Groningen where he holds a joint appointment at the Faculty of Science and Engineering and the Faculty of Medical Sciences as a professor of bioinformatics. At present, his research group is interested in designing, modelling and analysing quantitative biomolecular experiments on populations, using ‘genetic genomics’ strategies that combine the merits of genetics with the power of genomics.
Jansen is also a ‘Dean of Talent Development’ at the University of Groningen. As an acclaimed researcher he likes to give young colleagues a helping hand. In 2011 his book Developing a Talent for Science was published by Cambridge University Press, in which he discusses the stressful life of modern scientists in an increasingly competitive academic environment. ‘You are an entrepreneur in the land of research’, says Jansen. ‘In the past you would be welcomed to your new research place with a big bag of money, but nowadays scientists have to gather their own funds by winning grants.’ In 2013 Funding your career in Science was released by Cambridge University Press.
As Dean, Jansen is involved in matters such as training courses for academics in the field of applying for grants and holding presentations, as well as in the Grants Week, a large event for researchers seeking to acquire grants.
Previously in the news
2019
Zych,
K., Gort, G., Maliepaard, C. A., Jansen, R. C., &
Voorrips, R. E. (2019). FitTetra 2.0-improved genotype
calling for tetraploids with multiple population and parental data
support. Bmc Bioinformatics,
20, [148]. https://doi.org/10.1186/s12859-019-2703-y
Prins,
P., Smant, G., Arends, D., Mulligan, M. K., Williams, R.
W., & Jansen, R. C. (2019). Systems Genetics
for Evolutionary Studies. In M. Anisimova (Ed.),
Evolutionary Genomics (pp. 635-652). (Methods in Molecular
Biology; Vol. 1910). Springer. https://doi.org/10.1007/978-1-4939-9074-0_21
2017
Zych,
K., Snoek, L. B., Elvin, M., Rodriguez, M., van der Velde, K.
J., Arends, D., Westra, H-J., Swertz, M.
A., Poulin, G., Kammenga, J. E., Breitling, R.,
Jansen, R. C., & Li, Y. (2017).
reGenotyper: Detecting mislabeled samples in genetic
data. PLoS ONE, 12(2),
[e0171324]. https://doi.org/10.1371/journal.pone.0171324
2015
Westra,
H-J., Arends, D., Esko, T., Peters, M. J., Schurmann, C.,
Schramm, K., Kettunen, J., Yaghootkar, H., Fairfax, B. P.,
Andiappan, A. K., Li, Y., Fu, J.,
Karjalainen, J., Platteel, M., Visschedijk,
M., Weersma, R. K., Kasela, S., Milani, L.,
Tserel, L., ... Franke, L. (2015). Cell Specific
eQTL Analysis without Sorting Cells. PLoS
genetics, 11(5), [1005223]. https://doi.org/10.1371/journal.pgen.1005223
Fehrmann,
R. S. N., Karjalainen, J. M., Krajewska, M., Westra,
H-J., Maloney, D., Simeonov, A., Pers, T. H., Hirschhorn, J.
N., Jansen, R. C., Schultes, E. A., van Haagenl, H. H.
H. B. M., de Vries, E. G. E., te Meerman,
G., Wijmenga, C., van Vugt, M. A. T.
M., & Franke, L. (2015). Gene
expression analysis identifies global gene dosage sensitivity in
cancer. Nature Genetics,
47(2), 115-125. https://doi.org/10.1038/ng.3173
Zych,
K., Li, Y., van der Velde, J. K., Joosen,
R. V. L., Ligterink, W., Jansen, R. C., & Arends,
D. (2015). Pheno2Geno: High-throughput generation of genetic
markers and maps from molecular phenotypes for crosses between
inbred strains. Bmc Bioinformatics,
16(1), [51]. https://doi.org/10.1186/s12859-015-0475-6
van
der Graaf, A., Wardenaar, R., Neumann, D. A.,
Taudt, A., Shaw, R. G., Jansen, R. C., Schmitz, R.
J., Colome-Tatche, M., & Johannes, F. (2015).
Rate, spectrum, and evolutionary dynamics of spontaneous
epimutations. Proceedings of the National Academy
of Sciences of the United States of America,
112(21), 6676-6681. https://doi.org/10.1073/pnas.1424254112
Prins,
P., de Ligt, J., Tarasov, A., Jansen, R. C.,
Cuppen, E., & Bourne, P. E. (2015). Toward effective
software solutions for big biology. Nature
Biotechnology, 33(7), 686-687. https://doi.org/10.1038/nbt.3240
2014
Cortijo,
S., Wardenaar, R., Colome-Tatche, M.,
Gilly, A., Etcheverry, M., Labadie, K., Caillieux, E., Hospital,
F., Aury, J-M., Wincker, P., Roudier, F., Jansen, R.
C., Colot, V., & Johannes, F. (2014). Mapping the
Epigenetic Basis of Complex Traits.
Science, 343(6175), 1145-1148. https://doi.org/10.1126/science.1248127
Rintisch,
C., Heinig, M., Bauerfeind, A., Schafer, S., Mieth, C., Patone, G.,
Hummel, O., Chen, W., Cook, S., Cuppen, E., Colomé
Tatché, M., Johannes, F., Jansen, R. C.,
Neil, H., Werner, M., Pravenec, M., Vingron, M., & Hubner, N.
(2014). Natural variation of histone modification and its
impact on gene expression in the rat genome.
Genome Research, 24(6), 942-953. https://doi.org/10.1101/gr.169029.113
Pino
Del Carpio, D., Basnet, R. K., Arends, D., Lin, K., De Vos, R. C.
H., Muth, D., Kodde, J., Boutilier, K., Bucher, J., Wang, X.,
Jansen, R., & Bonnema, G. (2014). Regulatory
network of secondary metabolism in Brassica rapa: insight into the
glucosinolate pathway. PLoS ONE,
9(9), [e107123]. https://doi.org/10.1371/journal.pone.0107123
Velde,
K. J. V. D., Haan, M. D., Zych, K., Arends, D., Snoek, L.
B., Kammenga, J. E., Jansen, R. C., Swertz, M.
A., & Li, Y. (2014). WormQTL(HD)-a
web database for linking human disease to natural variation data in
C. elegans. Nucleic Acids Research,
42(D1), D794-D801. https://doi.org/10.1093/nar/gkt1044
Snoek,
L. B., Joeri van der Velde, K., Li,
Y., Jansen, R. C., Swertz, M. A.,
& Kammenga, J. E. (2014). Worm variation made accessible:
Take your shopping cart to store, link, and investigate!
Worm, 3(2), [e28357]. https://doi.org/10.4161/worm.28357
2013
Joosen,
R. V. L., Arends, D., Li, Y., Willems, L. A. J.,
Keurentjes, J. J. B., Ligterink, W., Jansen, R. C.,
& Hilhorst, H. W. M. (2013). Identifying
Genotype-by-Environment Interactions in the Metabolism of
Germinating Arabidopsis Seeds Using Generalized Genetical
Genomics. Plant Physiology,
162(2), 553-566. https://doi.org/10.1104/pp.113.216176
Westra,
H-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann,
C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K.,
Powell, J. E., Zhernakova, A., Zhernakova, D.
V., Veldink, J. H., Van den Berg, L. H., Karjalainen,
J., Withoff, S., Uitterlinden, A. G., Hofman, A.,
Rivadeneira, F., ... Hoen, P. A. C. . (2013). Systematic
identification of trans eQTLs as putative drivers of known disease
associations. Nature Genetics,
45(10), 1238-1243. https://doi.org/10.1038/ng.2756
Snoek,
L. B., Van der Velde, K. J., Arends, D., Li,
Y., Beyer, A., Elvin, M., Fisher, J., Hajnal, A.,
Hengartner, M. O., Poulin, G. B., Rodriguez, M., Schmid, T.,
Schrimpf, S., Xue, F., Jansen, R. C., Kammenga, J.
E., & Swertz, M. A. (2013). WormQTL-public
archive and analysis web portal for natural variation data in
Caenorhabditis spp. Nucleic Acids
Research, 41(D1), D738-D743. https://doi.org/10.1093/nar/gks1124
2012
Durrant,
C., Swertz, M. A., Alberts, R., Arends, D., Moeller,
S., Mott, R., Prins, P., van der Velde, K.
J., Jansen, R. C., & Schughart, K. (2012).
Bioinformatics tools and database resources for systems
genetics analysis in mice-a short review and an evaluation of
future needs. Briefings in
Bioinformatics, 13(2), 135-142. https://doi.org/10.1093/bib/bbr026
Colomé
Tatché, M., Cortijo, S., Wardenaar, R.,
Monteiro Morgado, L., Lahouze, B., Sarazin, A., Etcheverry, M.,
Martin, A., Feng, S., Duvernois-Berthet, E., Labadie, K., Wincker,
P., Jacobsen, S. E., Jansen, R. C., Colot, V., &
Johannes, F. (2012). Features of the Arabidopsis
recombination landscape resulting from the combined loss of
sequence variation and DNA methylation.
Proceedings of the National Academy of Sciences of the
United States of America, 109(40),
16240-16245. https://doi.org/10.1073/pnas.1212955109
Prins,
P., Smant, G., & Jansen, R. C. (2012).
Genetical Genomics for Evolutionary Studies.
Methods in Molecular Biology, 856,
469-485. https://doi.org/10.1007/978-1-61779-585-5_19
Demirkan,
A., van Duijn, C. M., Ugocsai, P., Isaacs, A., Pramstaller, P. P.,
Liebisch, G., Wilson, J. F., Johansson, A., Rudan, I., Aulchenko,
Y. S., Kirichenko, A. V., Janssens, A. C. J. W., Jansen, R.
C., Gnewuch, C., Domingues, F. S., Pattaro, C., Wild, S. H.,
Jonasson, I., Polasek, O., ... EUROSPAN Consortium (2012).
Genome-Wide Association Study Identifies Novel Loci
Associated with Circulating Phospho- and Sphingolipid
Concentrations. PLoS genetics,
8(2), [e1002490]. https://doi.org/10.1371/journal.pgen.1002490
Lendvai,
Á., Johannes, F., Grimm, C., Eijsink, J. J. H.,
Wardenaar, R., Volders, H. H., Klip, H. G., Hollema,
H., Jansen, R. C., Schuuring,
E., Wisman, G. B. A., & van der Zee,
A. G. J. (2012). Genome-wide methylation profiling
identifies hypermethylated biomarkers in high-grade cervical
intraepithelial neoplasia.
Epigenetics, 7(11), 1268-1278. https://doi.org/10.4161/epi.22301
Diekstra,
F. P., Saris, C. G. J., van Rheenen, W., Franke,
L., Jansen, R. C., van Es, M. A., van Vught, P.
W. J., Blauw, H. M., Groen, E. J. N., Horvath, S., Estrada, K.,
Rivadeneira, F., Hofman, A., Uitterlinden, A. G., Robberecht, W.,
Andersen, P. M., Melki, J., Meininger, V., Hardiman, O., ... Brown
Jr., R. H. (2012). Mapping of Gene Expression Reveals CYP27A1
as a Susceptibility Gene for Sporadic ALS. PLoS
ONE, 7(4), [e35333]. https://doi.org/10.1371/journal.pone.0035333
Zych,
K., Arends, D., & Jansen, R. (2012).
Pheno2geno; generating genetic markers and maps from
molecular phenotypes. http://pheno2geno.nl
Neto,
E. C., Keller, M. P., Broman, A. F., Attie, A. D., Jansen, R.
C., Broman, K. W., & Yandell, B. S. (2012).
Quantile-Based Permutation Thresholds for Quantitative Trait
Loci Hotspots. Genetics,
191(4), 1355-1365. https://doi.org/10.1534/genetics.112.139451
Fu,
J., Wolfs, M. G. M., Deelen, P., Westra,
H. J., Fehrmann, R. S. N., te Meerman,
G., Buurman, W. A., Rensen, S. S. M., Groen,
H., Weersma, R. K., van den Berg, L. H.,
Veldink, J., Ophoff, R. A., Snieder, H., van Heel,
D., Jansen, R. C., Hofker, M. H., Wijmenga,
C., & Franke, L. (2012). Unraveling
the regulatory mechanisms underlying tissue-dependent genetic
variation of gene expression. PLoS
genetics, 8(1), [e1002431]. https://doi.org/10.1371/journal.pgen.1002431
Joosen,
R. V. L., Arends, D., Willems, L. A. J., Ligterink, W.,
Jansen, R. C., & Hilhorst, H. W. M. (2012).
Visualizing the Genetic Landscape of Arabidopsis Seed
Performance. Plant Physiology,
158(2), 570-589. https://doi.org/10.1104/pp.111.186676
Arends,
D., van der Velde, K. J., Prins, P.,
Broman, K. W., Moller, S., Jansen, R. C., &
Swertz, M. A. (2012). xQTL workbench: a scalable web
environment for multi-level QTL analysis.
Bioinformatics, 28(7), 1042-1044. https://doi.org/10.1093/bioinformatics/bts049
2011
Trelles,
O., Prins, P., Snir, M., & Jansen, R.
C. (2011). Big data, but are we ready?
Nature Reviews Genetics, 12(3),
224-224. https://doi.org/10.1038/nrg2857-c1
Roux,
F., Colomé-Tatché, M., Edelist, C.,
Wardenaar, R., Guerche, P., Hospital, F., Colot, V.,
Jansen, R. C., & Johannes, F. (2011). Genome-Wide
Epigenetic Perturbation Jump-Starts Patterns of Heritable Variation
Found in Nature. Genetics,
188(4), 1015-1017. https://doi.org/10.1534/genetics.111.128744
Westra,
H-J., Jansen, R. C., Fehrmann, R. S.
N., te Meerman, G. J., van Heel, D.,
Wijmenga, C., Franke, L., & te
Meerman, G. (2011). MixupMapper: correcting sample
mix-ups in genome-wide datasets increases power to detect small
genetic effects. Bioinformatics,
27(15), 2104-2111. https://doi.org/10.1093/bioinformatics/btr323
Scheltema,
R. A., Jankevics, A., Jansen, R. C., Swertz, M.
A., & Breitling, R. (2011). PeakML/mzMatch: A File
Format, Java Library, R Library, and Tool-Chain for Mass
Spectrometry Data Analysis. Analytical
Chemistry, 83(7), 2786-2793. https://doi.org/10.1021/ac2000994
Seinen,
E., Burgerhof, J. G., Jansen, R.
C., & Sibon, O. C. (2011).
RNAi-induced off-target effects in Drosophila melanogaster:
frequencies and solutions. Briefings in Functional
Genomics, 10(4), 206-214. https://doi.org/10.1093/bfgp/elr017
Fehrmann,
R. S. N., Jansen, R. C., Veldink, J. H.,
Westra, H. J., Arends, D., Bonder, M. J.,
Fu, J., Deelen, P., Groen, H.,
Smolonska, J., Weersma, R. K., Hofstra, R. M. W.,
Buurman, W. A., Rensen, S., Wolfs, M. G. M., Platteel,
M., Zhernakova, A., Elbers, C. C.,
Festen, E. A., ... Franke, L. (2011).
Trans-eQTLs reveal that independent genetic variants
associated with a complex phenotype converge on intermediate genes,
with a major role for the HLA. PLoS
genetics, 7(8), [1002197]. https://doi.org/10.1371/journal.pgen.1002197
2010
Johannes,
F., Wardenaar, R., Colomé Tatché,
M., Mousson, F., de Graaf, P., Mokry, M.,
Guryev, V., Timmers, H. T. M., Cuppen, E., &
Jansen, R. C. (2010). Comparing genome-wide chromatin
profiles using ChIP-chip or ChIP-seq.
Bioinformatics, 26(8), 1000-1006. https://doi.org/10.1093/bioinformatics/btq087
Li,
Y., Tesson, B. M., Churchill, G. A., & Jansen, R.
C. (2010). Critical reasoning on causal inference in
genome-wide linkage and association studies.
Trends in Genetics, 26(12), 493-498.
https://doi.org/10.1016/j.tig.2010.09.002
Tesson,
B. M., Breitling, R., & Jansen, R. C. (2010).
DiffCoEx: a simple and sensitive method to find
differentially coexpressed gene modules. Bmc
Bioinformatics, 11(1), 497-1-497-9. [497]. https://doi.org/10.1186/1471-2105-11-497
Li,
Y., Breitling, R., Snoek, L. B., van der Velde, K.
J., Swertz, M. A., Riksen, J., Jansen, R.
C., & Kammenga, J. E. (2010). Global Genetic
Robustness of the Alternative Splicing Machinery in Caenorhabditis
elegans. Genetics, 186(1),
405-U620. https://doi.org/10.1534/genetics.110.119677
Seinen,
E., Burgerhof, J. G. M., Jansen, R.
C., & Sibon, O. C. M. (2010). RNAi
Experiments in D. melanogaster: Solutions to the Overlooked Problem
of Off-Targets Shared by Independent dsRNAs. PLoS
ONE, 5(10), [13119]. https://doi.org/10.1371/journal.pone.0013119
Arends,
D., Prins, P., Jansen, R. C., &
Broman, K. W. (2010). R/qtl: high-throughput multiple QTL
mapping. Bioinformatics,
26(23), 2990-2992. https://doi.org/10.1093/bioinformatics/btq565
Nieselt,
K., Battke, F., Herbig, A., Bruheim, P., Wentzel, A., Jakobsen, O.
M., Sletta, H., Alam, M. T., Merlo, M. E., Moore, J.,
Omara, W. A. M., Morrissey, E. R., Juarez-Hermosillo, M. A.,
Rodriguez-Garcia, A., Nentwich, M., Thomas, L., Iqbal, M., Legaie,
R., Gaze, W. H., ... Morrisey, E. R. (2010). The dynamic
architecture of the metabolic switch in Streptomyces
coelicolor. BMC Genomics, 11,
[10]. https://doi.org/10.1186/1471-2164-11-10
Swertz,
M. A., Dijkstra, M., Adamusiak, T., van der Velde, J.
K., Kanterakis, A., Roos, E. T., Lops, J., Thorisson, G. A.,
Arends, D., Byelas, G., Muilu, J., Brookes, A. J., de Brock,
E. O., Jansen, R. C., & Parkinson, H.
(2010). The MOLGENIS toolkit: rapid prototyping of
biosoftware at the push of a button. Bmc
Bioinformatics, 11 suppl 12 (S12),
S12-1-S12-9. [12]. https://doi.org/10.1186/1471-2105-11-S12-S12
Swertz,
M. A., van der Velde, K. J., Tesson, B. M.,
Scheltema, R. A., Arends, D., Vera, G., Alberts, R., Dijkstra, M.,
Schofield, P., Schughart, K., Hancock, J. M., Smedley, D.,
Wolstencroft, K., Goble, C., de Brock, E. O., Jones,
A. R., Parkinson, H. E., & Jansen, R. C. (2010).
XGAP: A uniform and extensible data model and software
platform for genotype and phenotype experiments.
Genome Biology, 11(3), [27]. https://doi.org/10.1186/gb-2010-11-3-r27
2009
Heap,
G. A., Trynka, G., Jansen, R. C., Bruinenberg,
M., Swertz, M. A., Dinesen, L. C., Hunt, K. A.,
Wijmenga, C., vanHeel, D. A., Franke, L., &
Heel, D. A. V. (2009). Complex nature of SNP genotype effects
on gene expression in primary human leucocytes.
BMC Medical Genomics, 2(1), [1]. https://doi.org/10.1186/1755-8794-2-1
Jansen,
R. C., Tesson, B. M., Fu, J., Yang, Y.,
McIntyre, L. M., & McInttyre, L. M. (2009). Defining gene
and QTL networks. Current Opinion in Plant
Biology, 12(2), 241-246. https://doi.org/10.1016/j.pbi.2009.01.003
Li,
Y., Swertz, M. A., Vera, G., Fu,
J., Breitling, R., & Jansen, R. C. (2009).
designGG: an R-package and web tool for the optimal design of
genetical genomics experiments. Bmc
Bioinformatics, 10(188), [188]. https://doi.org/10.1186/1471-2105-10-188
Franke,
L., & Jansen, R. C. (2009). eQTL
Analysis in Humans. In K. DiPetrillo (Ed.),
Cardiovascular Genomics: Methods and Protocols (Vol. 573,
pp. 311-328). (Methods in Molecular Biology; No. 573). Springer. https://doi.org/10.1007/978-1-60761-247-6_17
Franke,
L. H., & Jansen, R. C. (2009). eQTL
Analysis in Humans in Methods in Molecular Biology. In
Dipetrello (Ed.), Cardiovascular Genomics
Tesson,
B. M., & Jansen, R. C. (2009). eQTL Analysis
in Mice and Rats. In K. DiPetrillo (Ed.), Cardiovascular
Genomics: Methods and Protocols (573 ed., pp. 285-309).
(Methods in Molecular Biology; No. 573). Springer. https://doi.org/10.1007/978-1-60761-247-6_16
Tesson,
B. M., & Jansen, R. C. (2009). eQTL Analysis
in mice and rats Methods in Molecular Biology. In Dipetrello
K. (Ed.), Cardiovascular Genetics
Gerrits,
A., Li, Y., Tesson, B. M., Bystrykh, L.
V., Weersing, E., Ausema, A.,
Dontje, B., Wang, X., Breitling, R., Jansen, R.
C., de Haan, G., & Dethmers-Ausema, B.
(2009). Expression Quantitative Trait Loci Are Highly
Sensitive to Cellular Differentiation State. PLoS
genetics, 5(10), [1000692]. https://doi.org/10.1371/journal.pgen.1000692
Dijkstra,
M., & Jansen, R. C. (2009). Optimal analysis
of complex protein mass spectra.
Proteomics, 9(15), 3869-3876. https://doi.org/10.1002/pmic.200701064
Scheltema,
R. A., Decuypere, S., Dujardin, J. C., Watson, D. G., Jansen,
R. C., & Breitling, R. (2009). Simple
data-reduction method for high-resolution LC-MS data in
metabolomics. Bioanalysis,
1(9), 1551-1557. https://doi.org/10.4155/BIO.09.146
Fu,
J., Keurentjes, J. J. B., Bouwmeester, H., America, T.,
Verstappen, F. W. A., Ward, J. L., Beale, M. H., de Vos, R. C. H.,
Dijkstra, M., Scheltema, R. A., Johannes, F., Koornneef, M.,
Vreugdenhil, D., Breitling, R., & Jansen, R. C.
(2009). System-wide molecular evidence for phenotypic
buffering in Arabidopsis. Nature
Genetics, 41(2), 166-167. https://doi.org/10.1038/ng.308
2008
Alberts,
R., Vera, G., & Jansen, R. C. (2008).
affyGG: computational protocols for genetical genomics with
Affymetrix arrays. Bioinformatics,
24(3), 433-434. https://doi.org/10.1093/bioinformatics/btm614
Johannes,
F., Colot, V., & Jansen, R. C. (2008).
Epigenome dynamics: a quantitative genetics
perspective. Nature Reviews Genetics,
9, 883 - 890. http://www.rug.nl/biologie/onderzoek/onderzoekGroepen/bioinformatics/pdfPapers/nrg2467johannes.pdf
Li,
Y., Breitling, R., & Jansen, R. C. (2008).
Generalizing genetical genomics: getting added value from
environmental perturbation. Trends in
Genetics, 24(10), 518-524. https://doi.org/10.1016/j.tig.2008.08.001
Breitling,
R., Li, Y., Tesson, B. M., Fu, J., Wu,
C., Wiltshire, T., Gerrits, A., Bystrykh, L. V.,
de Haan, G., Su, A. I., & Jansen, R. C.
(2008). Genetical Genomics: Spotlight on QTL Hotspots.
PLoS genetics, 4(10), [e1000232]. https://doi.org/10.1371/journal.pgen.1000232
Scheltema,
R. A., Kamleh, A., Wildridge, D., Ebikeme, C., Watson, D. G.,
Barrett, M. R., Jansen, R. C., Breitling, R., &
Barrett, M. P. (2008). Increasing the mass accuracy of
high-resolution LC-MS data using background ions - a case study on
the LTQ-Orbitrap. Proteomics,
8(22), 4647-4656. https://doi.org/10.1002/pmic.200800314
Johannes,
F., Colot, V., & Jansen, R. C. (2008).
OPINION Epigenome dynamics: a quantitative genetics
perspective. Nature Reviews Genetics,
9(11), 883-890. https://doi.org/10.1038/nrg2467
Lam,
A. C., Fu, J., Jansen, R. C., Haley, C.
S., & de Koning, D-J. (2008). Optimal Design of Genetic
Studies of Gene Expression With Two-Color Microarrays in Outbred
Crosses. Genetics, 180(3),
1691-1698. https://doi.org/10.1534/genetics.108.090308
Vera,
G., Jansen, R. C., & Suppi, R. L. (2008).
R/parallel - speeding up bioinformatics analysis with
R. Bmc Bioinformatics, 22(9),
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