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Lecture Notes in Computer Science 2
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Nata˘sa Jonoska Gheorghe Păun Grz
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Thomas J. Head
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VIII Preface portant to keep in min
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X Table of Contents Formal Properti
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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where Solving Graph Problems by P S
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Solving Graph Problems by P Systems
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Writing Information into DNA Masano
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Writing Information into DNA 25 Ham
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Writing Information into DNA 27 Fig
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Writing Information into DNA 29 Dea
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5 Results 5.1 DNA Code for the Engl
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Writing Information into DNA 33 3.
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Writing Information into DNA 35 101
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Balance Machines: Computing = Balan
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+ .. . + Balance Machines: Computin
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x Balance Machines: Computing = Bal
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Balance Machines: Computing = Balan
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Balance Machines: Computing = Balan
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1 Balance Machines: Computing = Bal
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Eilenberg P Systems with Symbol-Obj
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2 Definitions Definition 1. A strea
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Eilenberg P Systems with Symbol-Obj
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Eilenberg P Systems with Symbol-Obj
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Eilenberg P Systems with Symbol-Obj
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5 Conclusions Eilenberg P Systems w
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Molecular Tiling and DNA Self-assem
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3 Molecular Self-assembly Processes
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Molecular Tiling and DNA Self-assem
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Molecular Tiling and DNA Self-assem
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Molecular Tiling and DNA Self-assem
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Molecular Tiling and DNA Self-assem
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Molecular Tiling and DNA Self-assem
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8 Hierarchical Tiling Molecular Til
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Molecular Tiling and DNA Self-assem
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Molecular Tiling and DNA Self-assem
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References Molecular Tiling and DNA
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Molecular Tiling and DNA Self-assem
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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On Some Classes of Splicing Languag
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ˆxa ˆby ✬ ✩✬ ✩ a b x y
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On Some Classes of Splicing Languag
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The Power of Networks of Watson-Cri
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The Power of Networks of Watson-Cri
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The Power of Networks of Watson-Cri
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The Power of Networks of Watson-Cri
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The Power of Networks of Watson-Cri
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The Power of Networks of Watson-Cri
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Fixed Point Approach to Commutation
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Fixed Point Approach to Commutation
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Fixed Point Approach to Commutation
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Here the last one holds if and only
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Fixed Point Approach to Commutation
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� � � � � Fixed Point App
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Fixed Point Approach to Commutation
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Remarks on Relativisations and DNA
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Remarks on Relativisations and DNA
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Remarks on Relativisations and DNA
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Splicing Test Tube Systems and Thei
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Splicing Test Tube Systems 141 the
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Splicing Test Tube Systems 143 to a
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Splicing Test Tube Systems 145 6. R
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Splicing Test Tube Systems 147 (c)
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I0 Ai i Splicing Test Tube Systems
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Splicing Test Tube Systems 151 4. J
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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Digital Information Encoding on DNA
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DNA-based Cryptography Ashish Gehan
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DNA-based Cryptography 169 concern.
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DNA-based Cryptography 171 The one-
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DNA-based Cryptography 173 of DNA t
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DNA-based Cryptography 175 Fig. 3.
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DNA-based Cryptography 177 the comp
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DNA-based Cryptography 179 can be c
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DNA-based Cryptography 181 4.4 DNA-
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DNA-based Cryptography 183 Fig. 7.
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DNA-based Cryptography 185 offer li
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DNA-based Cryptography 187 30. C. M
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Splicing to the Limit Elizabeth Goo
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Splicing to the Limit 191 molecular
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Splicing to the Limit 193 Discussio
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Example 9. The splicing rules are S
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−2α � kNNk = −2αMN, k α
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Finally we define the limit languag
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6 Conclusion Splicing to the Limit
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Formal Properties of Gene Assembly
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(a) (b) Formal Properties of Gene A
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Formal Properties of Gene Assembly
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Formal Properties of Gene Assembly
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Formal Properties of Gene Assembly
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n-Insertion on Languages Masami Ito
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n-Insertion on Languages 215 3. ∀
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n-Insertion on Languages 217 Theore
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Transducers with Programmable Input
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Transducers with Programmable Input
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1 01 s 0 Transducers with Programma
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order β l Transducers with Program
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Transducers with Programmable Input
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Transducers with Programmable Input
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Transducers with Programmable Input
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Transducers with Programmable Input
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Transducers with Programmable Input
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start tile Transducers with Program
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Transducers with Programmable Input
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Methods for Constructing Coded DNA
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Methods for Constructing Coded DNA
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u u Methods for Constructing Coded
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Methods for Constructing Coded DNA
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Methods for Constructing Coded DNA
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Methods for Constructing Coded DNA
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Methods for Constructing Coded DNA
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On the Universality of P Systems wi
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On the Universality of P Systems wi
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On the Universality of P Systems wi
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On the Universality of P Systems wi
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On the Universality of P Systems wi
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On the Universality of P Systems wi
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An Algorithm for Testing Structure
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An Algorithm for Testing Structure
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An Algorithm for Testing Structure
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An Algorithm for Testing Structure
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An Algorithm for Testing Structure
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An Algorithm for Testing Structure
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Definition 1. Define the relation
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280 Manfred Kudlek Definition 5. Co
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On Languages of Cyclic Words 283 Th
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On Languages of Cyclic Words 285 No
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On Languages of Cyclic Words 287 Th
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A DNA Algorithm for the Hamiltonian
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A DNA Algorithm for the Hamiltonian
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A DNA Algorithm for the Hamiltonian
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A DNA Algorithm for the Hamiltonian
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Formal Languages Arising from Gene
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Formal Languages Arising from Gene
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Formal Languages Arising from Gene
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Formal Languages Arising from Gene
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Formal Languages Arising from Gene
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Formal Languages Arising from Gene
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A Proof of Regularity for Finite Sp
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A Proof of Regularity for Finite Sp
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A Proof of Regularity for Finite Sp
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--- ◦ ❄ ⊗ γ ✲ A Proof of R
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A Proof of Regularity for Finite Sp
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The Duality of Patterning in Molecu
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The Duality of Patterning in Molecu
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Membrane Computing: Some Non-standa
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where: Membrane Computing: Some Non
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where: Membrane Computing: Some Non
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