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Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt
| Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2010 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) | SchmidtBertil |
| Collana | Embedded multi-core systems |
| Soggetto topico |
Bioinformatics - Data processing
Parallel processing (Electronic computers) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-13222-0
1-4398-1489-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Contents; Editor; Contributors; Chapter 1: Algorithms for Bioinformatics; Chapter 2: Introduction to GPGPUs andMassively Threaded Programming; Chapter 3: FPGA: Architecture and Programming; Chapter 4: Parallel Algorithms forAlignments on the Cell BE; Chapter 5: Orchestrating the PhylogeneticLikelihood Function on EmergingParallel Architectures; Chapter 6: Parallel Bioinformatics Algorithmsfor CUDA-Enabled GPUs; Chapter 7: CUDA Error Correction Method forHigh-Throughput Short-Read Sequencing Data; Chapter 8: FPGA Acceleration of SeededSimilarity Searching
Chapter 9: Seed-Based Parallel Protein SequenceComparison Combining Multithreading,GPU, and FPGA TechnologiesChapter 10: Database Searching with Profi le-HiddenMarkov Models on Reconfi gurableand Many-Core Architectures; Chapter 11: COPACOBANA: A Massively ParallelFPGA-Based Computer Architecture; Chapter 12: Accelerating String Set Matching forBioinformatics Using FPGA Hardware; Chapter 13: Reconfi gurable Neural System and ItsApplication to Dimeric ProteinBinding Site Identification; Chapter 14: Parallel FPGA Search Enginefor Protein Identification; Index; Back cover |
| Record Nr. | UNINA-9910459426003321 |
| Boca Raton : , : CRC Press, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt
| Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt |
| Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2010 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) | SchmidtBertil |
| Collana | Embedded multi-core systems |
| Soggetto topico |
Bioinformatics - Data processing
Parallel processing (Electronic computers) |
| ISBN |
0-429-13222-0
1-4398-1489-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Contents; Editor; Contributors; Chapter 1: Algorithms for Bioinformatics; Chapter 2: Introduction to GPGPUs andMassively Threaded Programming; Chapter 3: FPGA: Architecture and Programming; Chapter 4: Parallel Algorithms forAlignments on the Cell BE; Chapter 5: Orchestrating the PhylogeneticLikelihood Function on EmergingParallel Architectures; Chapter 6: Parallel Bioinformatics Algorithmsfor CUDA-Enabled GPUs; Chapter 7: CUDA Error Correction Method forHigh-Throughput Short-Read Sequencing Data; Chapter 8: FPGA Acceleration of SeededSimilarity Searching
Chapter 9: Seed-Based Parallel Protein SequenceComparison Combining Multithreading,GPU, and FPGA TechnologiesChapter 10: Database Searching with Profi le-HiddenMarkov Models on Reconfi gurableand Many-Core Architectures; Chapter 11: COPACOBANA: A Massively ParallelFPGA-Based Computer Architecture; Chapter 12: Accelerating String Set Matching forBioinformatics Using FPGA Hardware; Chapter 13: Reconfi gurable Neural System and ItsApplication to Dimeric ProteinBinding Site Identification; Chapter 14: Parallel FPGA Search Enginefor Protein Identification; Index; Back cover |
| Record Nr. | UNINA-9910784903403321 |
| Boca Raton : , : CRC Press, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt
| Bioinformatics : high performance parallel computer architectures / / edited by Bertil Schmidt |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boca Raton, FL, : CRC Press, 2010 |
| Descrizione fisica | 1 online resource (372 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) | SchmidtBertil |
| Collana | Embedded multi-core systems |
| Soggetto topico |
Bioinformatics - Data processing
Parallel processing (Electronic computers) |
| ISBN |
0-429-13222-0
1-4398-1489-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Contents; Editor; Contributors; Chapter 1: Algorithms for Bioinformatics; Chapter 2: Introduction to GPGPUs andMassively Threaded Programming; Chapter 3: FPGA: Architecture and Programming; Chapter 4: Parallel Algorithms forAlignments on the Cell BE; Chapter 5: Orchestrating the PhylogeneticLikelihood Function on EmergingParallel Architectures; Chapter 6: Parallel Bioinformatics Algorithmsfor CUDA-Enabled GPUs; Chapter 7: CUDA Error Correction Method forHigh-Throughput Short-Read Sequencing Data; Chapter 8: FPGA Acceleration of SeededSimilarity Searching
Chapter 9: Seed-Based Parallel Protein SequenceComparison Combining Multithreading,GPU, and FPGA TechnologiesChapter 10: Database Searching with Profi le-HiddenMarkov Models on Reconfi gurableand Many-Core Architectures; Chapter 11: COPACOBANA: A Massively ParallelFPGA-Based Computer Architecture; Chapter 12: Accelerating String Set Matching forBioinformatics Using FPGA Hardware; Chapter 13: Reconfi gurable Neural System and ItsApplication to Dimeric ProteinBinding Site Identification; Chapter 14: Parallel FPGA Search Enginefor Protein Identification; Index; Back cover |
| Record Nr. | UNINA-9910809096003321 |
| Boca Raton, FL, : CRC Press, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics algorithms : design and implementation in python / / Miguel Rocha and Pedro G. Ferreira
| Bioinformatics algorithms : design and implementation in python / / Miguel Rocha and Pedro G. Ferreira |
| Pubbl/distr/stampa | London : , : Academic Press, an imprint of Elsevier, , [2018] |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 572.80285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN |
0-12-812521-7
0-12-812520-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Bioinformatics Algorithms -- Copyright -- Contents -- 1 Introduction -- 1.1 Prelude -- 1.2 What is Bioinformatics -- 1.3 Book's Organization -- 2 An Introduction to the Python Language -- 2.1 Features of the Python Language -- 2.2 Variables and Pre-De ned Functions -- 2.2.1 Variable Types -- 2.2.2 Assigning Values to Variables -- 2.2.3 Numerical and Logical Variables -- 2.2.4 Containers -- 2.2.4.1 Lists -- 2.2.4.2 Strings -- 2.2.4.3 Tuples -- 2.2.4.4 Sets -- 2.2.4.5 Dictionaries -- 2.2.5 Variable Comparison -- 2.2.6 Type Conversion -- 2.3 Developing Python Code -- 2.3.1 Indentation -- 2.3.2 User-De ned Functions -- 2.3.3 Conditional Statements -- 2.3.4 Conditional Loops -- 2.3.5 Iterative Loop Statements -- 2.3.6 List Comprehensions -- 2.3.7 Help -- 2.4 Developing Python Programs -- 2.4.1 Data Input and Output -- 2.4.2 Reading and Writing From Files -- 2.4.3 Handling Exceptions -- 2.4.4 Modules -- 2.4.5 Putting It All Together -- 2.5 Object-Oriented Programming -- 2.5.1 De ning Classes and Creating Objects -- 2.5.2 Special Methods -- 2.5.3 Inheritance -- 2.5.4 Modularity -- 2.6 Pre-De ned Classes and Methods -- 2.6.1 Generic Methods for Containers -- 2.6.2 Methods for Lists -- 2.6.3 Methods for Strings -- 2.6.4 Methods for Sets -- 2.6.5 Methods for Dictionaries -- 2.6.6 Assigning and Copying Variables -- Bibliographical Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 3 Cellular and Molecular Biology Fundamentals -- 3.1 The Cell: The Basic Unit of Life -- 3.2 Genetic Information: Nucleic Acids -- 3.2.1 Transcription: RNA Synthesis -- 3.2.2 Translation: Protein Synthesis -- 3.3 Genes: Discrete Units of Genetic Information -- 3.3.1 Gene Structure -- 3.3.2 Regulation of Gene Expression -- 3.4 Human Genome -- 3.5 Biological Resources and Databases.
Bibliographic References and Further Reading -- Exercises -- 4 Basic Processing of Biological Sequences -- 4.1 Biological Sequences: Representations and Basic Algorithms -- 4.2 Transcription and Reverse Complement -- 4.3 Translation -- 4.4 Seeking Putative Genes: Open Reading Frames -- 4.5 Putting It All Together -- 4.6 A Class for Biological Sequences -- 4.7 Processing Sequences With BioPython -- 4.8 Sequence Annotation Objects in BioPython -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 5 Finding Patterns in Sequences -- 5.1 Introduction: Importance of Pattern Finding in Bioinformatics -- 5.2 Naive Algorithm for Fixed Pattern Finding -- 5.3 Heuristic Algorithm: Boyer-Moore -- 5.4 Deterministic Finite Automata -- 5.5 Finding Flexible Patterns: Regular Expressions -- 5.5.1 De nitions and Regular Expressions in Python -- 5.5.2 Examples in Biological Sequence Analysis -- 5.5.3 Finding Protein Motifs -- 5.5.4 An Application to Restriction Enzymes -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 6 Pairwise Sequence Alignment -- 6.1 Introduction: Comparing Sequences and Sequence Alignment -- 6.2 Visual Alignments: Dot Plots -- 6.3 Sequence Alignment as an Optimization Problem -- 6.3.1 Problem De nition and Complexity -- 6.3.2 Objective Function: Substitution Matrices and Gap Penalties -- 6.3.3 Implementing the Calculation of the Objective Function -- 6.4 Dynamic Programming Algorithms for Global Alignment -- 6.4.1 The Needleman-Wunsch Algorithm -- 6.4.2 Implementing the Needleman-Wunsch Algorithm -- 6.5 Dynamic Programming Algorithms for Local Alignment -- 6.5.1 The Smith-Waterman Algorithm -- 6.5.2 Implementing the Smith-Waterman Algorithm -- 6.6 Special Cases of Sequence Alignment -- 6.7 Pairwise Sequence Alignment in BioPython. Bibliographical Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 7 Searching Similar Sequences in Databases -- 7.1 Introduction -- 7.2 BLAST Algorithm and Programs -- 7.2.1 Overview of the BLAST Algorithm -- 7.2.2 BLAST Programs -- 7.2.3 Signi cance of the Alignments -- 7.3 Implementing Our Own BLAST -- 7.4 Using BLAST Through BioPython -- Bibliographical Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 8 Multiple Sequence Alignment -- 8.1 Introduction: Problem De nition and Complexity -- 8.2 Classes of Optimization Algorithms for Multiple Sequence Alignment -- 8.2.1 Dynamic Programming -- 8.2.2 Heuristic Algorithms -- 8.3 Implementing Progressive Alignments in Python -- 8.3.1 Representing Alignments: Class MyAlign -- 8.3.2 Pairwise Alignment: Class AlignSeq -- 8.3.3 Implementing Multiple Sequence Alignment: Class MultipleAlign -- 8.4 Handling Alignments in BioPython -- Bibliographical Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 9 Phylogenetic Analysis -- 9.1 Introduction: Problem De nition and Relevance -- 9.2 Classes of Algorithms for Phylogenetic Analysis -- 9.2.1 Distance-Based Methods -- 9.2.2 Maximum Parsimony -- 9.2.3 Statistical Methods -- 9.3 Implementing Distance-Based Algorithms in Python -- 9.3.1 Implementing Binary Trees -- 9.3.2 Implementing the UPGMA Algorithm -- 9.4 BioPython Functions for Phylogenetic Analysis -- Bibliographical Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 10 Motif Discovery Algorithms -- 10.1 Introduction: Problem De nition and Relevance -- 10.2 Brute-Force Algorithms: Exhaustive Search -- 10.3 Branch-and-Bound Algorithms -- 10.4 Heuristic Algorithms. Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 11 Probabilistic Motifs and Stochastic Algorithms -- 11.1 Representing and Searching Probabilistic Motifs -- 11.2 Stochastic Algorithms: Expectation-Maximization -- 11.3 Gibbs Sampling for Motif Discovery -- 11.4 Probabilistic Motifs in BioPython -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 12 Hidden Markov Models -- 12.1 Introduction: What Are Hidden Markov Models? -- 12.2 Algorithms and Python Implementation -- 12.2.1 Joint Probability of an Observed Sequence and State Path -- 12.2.2 Probability of an Observed Sequence Over All State Paths -- 12.2.3 Probability of the Remainder of an Observed Sequence -- 12.2.4 Finding the Optimal State Path -- 12.2.5 Learning the Parameters of an HMM Model -- 12.3 HMMs for Database Search -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- 13 Graphs: Concepts and Algorithms -- 13.1 Graphs: De nitions and Representations -- 13.2 A Python Class for Graphs -- 13.3 Adjacent Nodes and Degrees -- 13.4 Paths, Searches, and Distances -- 13.5 Cycles -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 14 Graphs and Biological Networks -- 14.1 Introduction -- 14.2 Representing Networks With Graphs -- 14.2.1 A Python Class for Metabolic Networks -- 14.2.2 An Example Metabolic Network for a Real Organism -- 14.3 Network Topological Analysis -- 14.3.1 Degree Distribution -- 14.3.2 Shortest Path Analysis -- 14.3.3 Clustering Coef cients -- 14.3.4 Hubs and Centrality Measures -- 14.4 Assessing the Metabolic Potential -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects. 15 Assembling Reads Into Genomes: Graph-Based Algorithms -- 15.1 Introduction to Genome Assembly and Related Challenges -- 15.2 Overlap Graphs and Hamiltonian Cycles -- 15.2.1 Problem De nition and Exhaustive Search -- 15.2.2 Overlap Graphs -- 15.2.3 Hamiltonian Circuits -- 15.3 DeBruijn Graphs and Eulerian Paths -- 15.3.1 DeBruijn Graphs for Genome Assembly -- 15.3.2 Eulerian Paths -- 15.4 Genome Assembly in Practice -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 16 Matching Reads to Reference Sequences -- 16.1 Introduction: Problem De nition and Applications -- 16.2 Pre-Processing the Patterns: Tries -- 16.2.1 De nitions and Algorithms -- 16.2.2 Implementing Tries in Python -- 16.3 Pre-Processing the Sequence: Suf x Trees -- 16.3.1 De nitions and Algorithms -- 16.3.2 Implementing Suf x Trees in Python -- 16.4 Burrows-Wheeler Transforms -- 16.4.1 De nitions and Algorithms -- 16.4.2 Implementation in Python -- 16.4.3 Aligning References to Genomes in Practice -- Bibliographic Notes and Further Reading -- Exercises and Programming Projects -- Exercises -- Programming Projects -- 17 Further Reading and Resources -- 17.1 Complementary Books -- 17.2 Journals and Conferences -- 17.3 Formal Education -- 17.4 Online Resources -- Final Words -- Bibliography -- Index -- Back Cover. |
| Record Nr. | UNINA-9910583478103321 |
| London : , : Academic Press, an imprint of Elsevier, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Health informatics--point-of-care medical device communication . Part 30200, Transport profile--cable connected. Amendment 1 / / Institute of Electrical and Electronics Engineers
| Health informatics--point-of-care medical device communication . Part 30200, Transport profile--cable connected. Amendment 1 / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2011 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 0-7381-6677-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
11073-30200a-2011 - Health informatics--Point-of-care medical device communication Part 30200
IEEE Std 11073-30200a-2011 (Amendment to ISO/IEEE Std 11073-30200:2004): Health informatics--Point-of-care medical device communication Part 30200: Transport profile--Cable connected Amendment 1 IEEE Std 11073-30200a-2011 |
| Record Nr. | UNISA-996280506803316 |
| Piscataway, NJ : , : IEEE, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Health informatics--point-of-care medical device communication . Part 30200, Transport profile--cable connected. Amendment 1 / / Institute of Electrical and Electronics Engineers
| Health informatics--point-of-care medical device communication . Part 30200, Transport profile--cable connected. Amendment 1 / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2011 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 0-7381-6677-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
11073-30200a-2011 - Health informatics--Point-of-care medical device communication Part 30200
IEEE Std 11073-30200a-2011 (Amendment to ISO/IEEE Std 11073-30200:2004): Health informatics--Point-of-care medical device communication Part 30200: Transport profile--Cable connected Amendment 1 IEEE Std 11073-30200a-2011 |
| Record Nr. | UNINA-9910135416903321 |
| Piscataway, NJ : , : IEEE, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IEEE 11073-20601a-2010 (Amendment to IEEE Std 11073-20601-2008) . Part 20601 : IEEE Health informatics--Personal health device communication : Application profile--Optimized Exchange Protocol Amendment 1 / / Institute of Electrical and Electronics Engineers
| IEEE 11073-20601a-2010 (Amendment to IEEE Std 11073-20601-2008) . Part 20601 : IEEE Health informatics--Personal health device communication : Application profile--Optimized Exchange Protocol Amendment 1 / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2011 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 0-7381-6462-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
11073-20601a-2010 - IEEE Health informatics--Personal health device communication Part 20601
IEEE 11073-20601a-2010 |
| Record Nr. | UNINA-9910135270603321 |
| Piscataway, NJ : , : IEEE, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IEEE 11073-20601a-2010 (Amendment to IEEE Std 11073-20601-2008) . Part 20601 : IEEE Health informatics--Personal health device communication : Application profile--Optimized Exchange Protocol Amendment 1 / / Institute of Electrical and Electronics Engineers
| IEEE 11073-20601a-2010 (Amendment to IEEE Std 11073-20601-2008) . Part 20601 : IEEE Health informatics--Personal health device communication : Application profile--Optimized Exchange Protocol Amendment 1 / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | Piscataway, NJ : , : IEEE, , 2011 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 0-7381-6462-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
11073-20601a-2010 - IEEE Health informatics--Personal health device communication Part 20601
IEEE 11073-20601a-2010 |
| Record Nr. | UNISA-996280661403316 |
| Piscataway, NJ : , : IEEE, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
IEEE Health informatics--Personal health device communication . Part 20601 : Application profile--Optimized Exchange Protocol / / Institute of Electrical and Electronics Engineers
| IEEE Health informatics--Personal health device communication . Part 20601 : Application profile--Optimized Exchange Protocol / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | New York, NY : , : IEEE, , 2019 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 1-5044-6379-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 11073-20601-2019 - IEEE Health informatics--Personal health device communication - Part 20601 |
| Record Nr. | UNINA-9910389550403321 |
| New York, NY : , : IEEE, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IEEE Health informatics--Personal health device communication . Part 20601 : Application profile--Optimized Exchange Protocol / / Institute of Electrical and Electronics Engineers
| IEEE Health informatics--Personal health device communication . Part 20601 : Application profile--Optimized Exchange Protocol / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | New York, NY : , : IEEE, , 2019 |
| Descrizione fisica | 1 online resource |
| Disciplina | 570.285 |
| Soggetto topico | Bioinformatics - Data processing |
| ISBN | 1-5044-6379-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | 11073-20601-2019 - IEEE Health informatics--Personal health device communication - Part 20601 |
| Record Nr. | UNISA-996577934503316 |
| New York, NY : , : IEEE, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
