Hans Roubos
Hans Roubos
Senior Science Fellow Bioinformatics & Modeling
Verified email at - Homepage
Cited by
Cited by
Genome sequencing and analysis of the versatile cell factory Aspergillus niger CBS 513.88
HJ Pel, JH de Winde, DB Archer, PS Dyer, G Hofmann, PJ Schaap, ...
Nature biotechnology 25 (2), 221-231, 2007
GA-fuzzy modeling and classification: complexity and performance
M Setnes, H Roubos
IEEE transactions on Fuzzy Systems 8 (5), 509-522, 2000
Genome sequencing and analysis of the filamentous fungus Penicillium chrysogenum
MA Van Den Berg, R Albang, K Albermann, JH Badger, JM Daran, ...
Nature biotechnology 26 (10), 1161-1168, 2008
Comparative genomics of citric-acid-producing Aspergillus niger ATCC 1015 versus enzyme-producing CBS 513.88
MR Andersen, MP Salazar, PJ Schaap, PJI van de Vondervoort, D Culley, ...
Genome research 21 (6), 885-897, 2011
Compact and transparent fuzzy models and classifiers through iterative complexity reduction
H Roubos, M Setnes
Fuzzy Systems, IEEE Transactions on 9 (4), 516-524, 2001
Learning fuzzy classification rules from labeled data
JA Roubos, M Setnes, J Abonyi
Information Sciences 150 (1), 77-93, 2003
Fuzzy model-based predictive control using Takagi-Sugeno models
JA Roubos, S Mollov, R Babuska, HB Verbruggen
International Journal of Approximate Reasoning 22 (1), 3-30, 1999
An evolutionary strategy for fed-batch bioreactor optimization; concepts and performance
JA Roubos, G Van Straten, AJB Van Boxtel
Journal of biotechnology 67 (2-3), 173-187, 1999
Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization
J Abonyi, JA Roubos, F Szeifert
International journal of approximate reasoning 32 (1), 1-21, 2003
Trade-offs between tRNA abundance and mRNA secondary structure support smoothing of translation elongation rate
TE Gorochowski, Z Ignatova, RAL Bovenberg, JA Roubos
Nucleic acids research 43 (6), 3022-3032, 2015
CRISPR/Cpf1 enables fast and simple genome editing of Saccharomyces cerevisiae
R Verwaal, N Buiting‐Wiessenhaan, S Dalhuijsen, JA Roubos
Yeast 35 (2), 201-211, 2018
A minimal model of ribosome allocation dynamics captures trade-offs in expression between endogenous and synthetic genes
TE Gorochowski, I Avcilar-Kucukgoze, RAL Bovenberg, JA Roubos, ...
ACS synthetic biology 5 (7), 710-720, 2016
Genetic circuit performance under conditions relevant for industrial bioreactors
F Moser, NJ Broers, S Hartmans, A Tamsir, R Kerkman, JA Roubos, ...
ACS synthetic biology 1 (11), 555-564, 2012
Identification of MIMO systems by input-output TS fuzzy models
R Babuska, JA Roubos, HB Verbruggen
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational …, 1998
Next-generation sequencing-based genome diagnostics across clinical genetics centers: implementation choices and their effects
T Vrijenhoek, K Kraaijeveld, M Elferink, J De Ligt, E Kranendonk, ...
European Journal of Human Genetics 23 (9), 1142-1150, 2015
Compact fuzzy models through complexity reduction and evolutionary optimization
H Roubos, M Setnes
Ninth IEEE International Conference on Fuzzy Systems. FUZZ-IEEE 2000 (Cat …, 2000
Multiplex genome editing of microorganisms using CRISPR-Cas
B Adiego-Perez, P Randazzo, JM Daran, R Verwaal, JA Roubos, ...
FEMS microbiology letters 366 (8), fnz086, 2019
Effective lead selection for improved protein production in Aspergillus niger based on integrated genomics
DI Jacobs, M Olsthoorn, I Maillet, M Akeroyd, S Breestraat, S Donkers, ...
Fungal Genetics and Biology 46 (1), S141-S152, 2009
Identification of InuR, a new Zn(II)2Cys6 transcriptional activator involved in the regulation of inulinolytic genes in Aspergillus niger
XL Yuan, JA Roubos, CA van den Hondel, AFJ Ram
Molecular Genetics and Genomics 279, 11-26, 2008
Algorithmic co-optimization of genetic constructs and growth conditions: application to 6-ACA, a potential nylon-6 precursor
H Zhou, B Vonk, JA Roubos, RAL Bovenberg, CA Voigt
Nucleic acids research 43 (21), 10560-10570, 2015
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