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Forschungszentrum Informationstechnik GmbH GMD
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PublicationMolecular systems-on-chip (MSoC) steps forward for programmable biosystems( 2004)
;Wagler, P.F. ;Tangen, U. ;Maeke, T. ;Chemnitz, S. ;Juenger, M.McCaskill, J.S. -
PublicationExperimental comparison of DNA libraries using microelectronic arrays( 2004)
;Rucker, T.Ackermann, J. -
PublicationConstruction of an integrated biomodule composed of microfluidics and digitally controlled microelectrodes for processing biomolecules( 2003)
;Wagler, P. ;Tangen, U. ;Maeke, T. ;Mathis, H.P.McCaskill, J.S.This work focuses on the development of an online programmable microfluidic bioprocessing unit (BioModule) using digital logic microelectrodes for rapid pipelined selection and transfer of DNA molecules and other charged biopolymers. The design and construction technique for this hybrid programmable biopolymer processing device is presented along with the first proof of principle functionality. The electronically controlled collection, separation and channel transfer of the biomolecules is monitored by a sensitive fluorescence setup. This hybrid reconfigurable architecture couples electronic and biomolecular information processing via a single module combination of fluidics and electronics and opens new fields of applications not only in DNA computing and molecular diagnostics but also in applications of combinatorial chemistry and lab-on-a-chip biotechnology to the drug discovery process. Fundamentals of the design and silicon-PDMS-based construction of these electronic microfluidic devices and their functions are described as well as the experimental results. -
PublicationMolecular-systems-on-a-chip - steps forwards for programmable biosystems( 2003)
;Wagler, P.F. ;Tangen, U. ;Maeke, T. ;Mathis, H.P.McCaskill, J.S. -
PublicationCascadable Hybridisation Transfer of Specific DNA between Microreactor Selection Modules( 2002)
;Penchovsky, R.McCaskill, J.S. -
PublicationAdvanced simulation in the configurable massively parallel hardware meregen( 2002)
;Tangen, U. ;Maeke, T.Mccaskill, J.S. -
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PublicationOptimal mutation rate using Bayesian priors for estimation of distribution algorithms( 2001)
;Mahnig, T.Mühlenbein, H.UMDA(the univariate marginal distribution algorithm) was derived by analyzing the mathematical principles behind recombination. Mutation, however, was not considered. The same is true for the FDA (factorized distribution algorithm), an extension of the UMDA which can cover dependencies between variables. In this paper mutation is introduced into these algorithms by a technique called Bayesian prior. We derive theoretically an estimate how to choose the Bayesian prior. The recommended Bayesian prior turns out to be a good choice in a number of experiments. These experiments also indicate that mutation increases in many cases the performance of the algorithms and decreases the dependence on a good choice of the population size. -
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PublicationSteady flow micro-reactor module for pipelined DNA computations( 2001)
;McCaskill, J.S. ;Penchovsky, R. ;Gohlke, M. ;Ackermann, J.Rücker, T.