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
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
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
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
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
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 (1), 11-26, 2008
Multiplex genome editing of microorganisms using CRISPR-Cas
B Adiego-Pérez, P Randazzo, JM Daran, R Verwaal, JA Roubos, ...
FEMS microbiology letters 366 (8), fnz086, 2019
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
Predictive control by local linearization of a Takagi-Sugeno fuzzy model
JA Roubos, R Babuska, PM Bruijn, HB Verbruggen
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational …, 1998
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