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Algorithms for Next-Generation Sequencing Data : Techniques, Approaches, and Applications / / edited by Mourad Elloumi
| Algorithms for Next-Generation Sequencing Data : Techniques, Approaches, and Applications / / edited by Mourad Elloumi |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 355 p. 108 illus., 3 illus. in color.) |
| Disciplina | 570.285 |
| Soggetto topico |
Bioinformatics
Biomathematics Algorithms Computational Biology/Bioinformatics Mathematical and Computational Biology Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-59826-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254843603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Algorithms in computational molecular biology [[electronic resource] ] : techniques, approaches and applications / / edited by Mourad Elloumi, Albert Y. Zomaya
| Algorithms in computational molecular biology [[electronic resource] ] : techniques, approaches and applications / / edited by Mourad Elloumi, Albert Y. Zomaya |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, , 2011 |
| Descrizione fisica | 1 online resource (1085 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) |
ElloumiMourad
ZomayaAlbert Y |
| Collana | Wiley series on bioinformatics |
| Soggetto topico | Biophysics - Mathematical models |
| ISBN |
1-282-93963-7
9786612939631 0-470-89209-9 0-470-89210-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ALGORITHMS INCOMPUTATIONALMOLECULAR BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; I STRINGS PROCESSING AND APPLICATION TO BIOLOGICAL SEQUENCES; 1 STRING DATA STRUCTURES FOR COMPUTATIONAL MOLECULAR BIOLOGY; 1.1 Introduction; 1.2 Main String Indexing Data Structures; 1.2.1 Suffix Trees; 1.2.2 Suffix Arrays; 1.3 Index Structures for Weighted Strings; 1.4 Index Structures for Indeterminate Strings; 1.5 String Data Structures in Memory Hierarchies; 1.6 Conclusions; References; 2 EFFICIENT RESTRICTED-CASE ALGORITHMS FOR PROBLEMS IN COMPUTATIONAL BIOLOGY; 2.1 The Need for Special Cases
2.2 Assessing Efficient Solvability Options for General Problems and Special Cases2.3 String and Sequence Problems; 2.4 Shortest Common Superstring; 2.4.1 Solving the General Problem; 2.4.2 Special Case: SCSt for Short Strings Over Small Alphabets; 2.4.3 Discussion; 2.5 Longest Common Subsequence; 2.5.1 Solving the General Problem; 2.5.2 Special Case: LCS of Similar Sequences; 2.5.3 Special Case: LCS Under Symbol-Occurrence Restrictions; 2.5.4 Discussion; 2.6 Common Approximate Substring; 2.6.1 Solving the General Problem; 2.6.2 Special Case: Common Approximate String; 2.6.3 Discussion 2.7 ConclusionReferences; 3 FINITE AUTOMATA IN PATTERN MATCHING; 3.1 Introduction; 3.1.1 Preliminaries; 3.2 Direct Use of DFA in Stringology; 3.2.1 Forward Automata; 3.2.2 Degenerate Strings; 3.2.3 Indexing Automata; 3.2.4 Filtering Automata; 3.2.5 Backward Automata; 3.2.6 Automata with Fail Function; 3.3 NFA Simulation; 3.3.1 Basic Simulation Method; 3.3.2 Bit Parallelism; 3.3.3 Dynamic Programming; 3.3.4 Basic Simulation Method with Deterministic State Cache; 3.4 Finite Automaton as Model of Computation; 3.5 Finite Automata Composition; 3.6 Summary; References 4 NEW DEVELOPMENTS IN PROCESSING OF DEGENERATE SEQUENCES4.1 Introduction; 4.1.1 Degenerate Primer Design Problem; 4.2 Background; 4.3 Basic Definitions; 4.4 Repetitive Structures in Degenerate Strings; 4.4.1 Using the Masking Technique; 4.4.2 Computing the Smallest Cover of the Degenerate String x; 4.4.3 Computing Maximal Local Covers of x; 4.4.4 Computing All Covers of x; 4.4.5 Computing the Seeds of x; 4.5 Conservative String Covering in Degenerate Strings; 4.5.1 Finding Constrained Pattern p in Degenerate String T; 4.5.2 Computing ?-Conservative Covers of Degenerate Strings 4.5.3 Computing ?-Conservative Seeds of Degenerate Strings4.6 Conclusion; References; 5 EXACT SEARCH ALGORITHMS FOR BIOLOGICAL SEQUENCES; 5.1 Introduction; 5.2 Single Pattern Matching Algorithms; 5.2.1 Algorithms for DNA Sequences; 5.2.2 Algorithms for Amino Acids; 5.3 Algorithms for Multiple Patterns; 5.3.1 Trie-Based Algorithms; 5.3.2 Filtering Algorithms; 5.3.3 Other Algorithms; 5.4 Application of Exact Set Pattern Matching for Read Mapping; 5.4.1 MPSCAN: An Efficient Exact Set Pattern Matching Tool for DNA/RNA Sequences; 5.4.2 Other Solutions for Mapping Reads 5.4.3 Comparison of Mapping Solutions |
| Record Nr. | UNINA-9910139396103321 |
| Hoboken, New Jersey : , : John Wiley & Sons, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Algorithms in computational molecular biology : techniques, approaches and applications / / edited by Mourad Elloumi, Albert Y. Zomaya
| Algorithms in computational molecular biology : techniques, approaches and applications / / edited by Mourad Elloumi, Albert Y. Zomaya |
| Pubbl/distr/stampa | Hoboken, N.J., : Wiley, 2011 |
| Descrizione fisica | 1 online resource (1085 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) |
ElloumiMourad
ZomayaAlbert Y |
| Collana | Wiley series on bioinformatics |
| Soggetto topico | Biophysics - Mathematical models |
| ISBN |
9786612939631
9781282939639 1282939637 9780470892091 0470892099 9780470892107 0470892102 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
ALGORITHMS INCOMPUTATIONALMOLECULAR BIOLOGY; CONTENTS; PREFACE; CONTRIBUTORS; I STRINGS PROCESSING AND APPLICATION TO BIOLOGICAL SEQUENCES; 1 STRING DATA STRUCTURES FOR COMPUTATIONAL MOLECULAR BIOLOGY; 1.1 Introduction; 1.2 Main String Indexing Data Structures; 1.2.1 Suffix Trees; 1.2.2 Suffix Arrays; 1.3 Index Structures for Weighted Strings; 1.4 Index Structures for Indeterminate Strings; 1.5 String Data Structures in Memory Hierarchies; 1.6 Conclusions; References; 2 EFFICIENT RESTRICTED-CASE ALGORITHMS FOR PROBLEMS IN COMPUTATIONAL BIOLOGY; 2.1 The Need for Special Cases
2.2 Assessing Efficient Solvability Options for General Problems and Special Cases2.3 String and Sequence Problems; 2.4 Shortest Common Superstring; 2.4.1 Solving the General Problem; 2.4.2 Special Case: SCSt for Short Strings Over Small Alphabets; 2.4.3 Discussion; 2.5 Longest Common Subsequence; 2.5.1 Solving the General Problem; 2.5.2 Special Case: LCS of Similar Sequences; 2.5.3 Special Case: LCS Under Symbol-Occurrence Restrictions; 2.5.4 Discussion; 2.6 Common Approximate Substring; 2.6.1 Solving the General Problem; 2.6.2 Special Case: Common Approximate String; 2.6.3 Discussion 2.7 ConclusionReferences; 3 FINITE AUTOMATA IN PATTERN MATCHING; 3.1 Introduction; 3.1.1 Preliminaries; 3.2 Direct Use of DFA in Stringology; 3.2.1 Forward Automata; 3.2.2 Degenerate Strings; 3.2.3 Indexing Automata; 3.2.4 Filtering Automata; 3.2.5 Backward Automata; 3.2.6 Automata with Fail Function; 3.3 NFA Simulation; 3.3.1 Basic Simulation Method; 3.3.2 Bit Parallelism; 3.3.3 Dynamic Programming; 3.3.4 Basic Simulation Method with Deterministic State Cache; 3.4 Finite Automaton as Model of Computation; 3.5 Finite Automata Composition; 3.6 Summary; References 4 NEW DEVELOPMENTS IN PROCESSING OF DEGENERATE SEQUENCES4.1 Introduction; 4.1.1 Degenerate Primer Design Problem; 4.2 Background; 4.3 Basic Definitions; 4.4 Repetitive Structures in Degenerate Strings; 4.4.1 Using the Masking Technique; 4.4.2 Computing the Smallest Cover of the Degenerate String x; 4.4.3 Computing Maximal Local Covers of x; 4.4.4 Computing All Covers of x; 4.4.5 Computing the Seeds of x; 4.5 Conservative String Covering in Degenerate Strings; 4.5.1 Finding Constrained Pattern p in Degenerate String T; 4.5.2 Computing ?-Conservative Covers of Degenerate Strings 4.5.3 Computing ?-Conservative Seeds of Degenerate Strings4.6 Conclusion; References; 5 EXACT SEARCH ALGORITHMS FOR BIOLOGICAL SEQUENCES; 5.1 Introduction; 5.2 Single Pattern Matching Algorithms; 5.2.1 Algorithms for DNA Sequences; 5.2.2 Algorithms for Amino Acids; 5.3 Algorithms for Multiple Patterns; 5.3.1 Trie-Based Algorithms; 5.3.2 Filtering Algorithms; 5.3.3 Other Algorithms; 5.4 Application of Exact Set Pattern Matching for Read Mapping; 5.4.1 MPSCAN: An Efficient Exact Set Pattern Matching Tool for DNA/RNA Sequences; 5.4.2 Other Solutions for Mapping Reads 5.4.3 Comparison of Mapping Solutions |
| Record Nr. | UNINA-9910825591603321 |
| Hoboken, N.J., : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biological knowledge discovery handbook : preprocessing, mining and postprocessing of biological data / / edited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors
| Biological knowledge discovery handbook : preprocessing, mining and postprocessing of biological data / / edited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors |
| Autore | Elloumi Mourad |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (1192 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) |
ElloumiMourad
RutkowskiMichael AbbassJad |
| Collana | Wiley Series in Bioinformatics : Computational Techniques and Engineering |
| Soggetto topico |
Bioinformatics
Computational biology Data mining |
| ISBN |
1-118-85372-5
1-118-61715-0 1-118-61711-8 |
| Classificazione | COM021040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BIOLOGICAL KNOWLEDGE DISCOVERY HANDBOOK: Preprocessing, Mining, and Postprocessing of Biological Data; CONTENTS; PREFACE; CONTRIBUTORS; SECTION I: BIOLOGICAL DATA PREPROCESSING; PART A: BIOLOGICAL DATA MANAGEMENT; 1 GENOME AND TRANSCRIPTOME SEQUENCE DATABASES FOR DISCOVERY, STORAGE, AND REPRESENTATION OF ALTERNATIVE SPLICING EVENTS; 1.1 INTRODUCTION; 1.2 SPLICING; 1.2.1 Mechanism of Splicing; 1.2.2 Regulation of Splicing; 1.3 ALTERNATIVE SPLICING; 1.3.1 Introduction to Alternative Splicing; 1.3.2 Mechanism of Alternative Splicing; 1.3.3 Regulation of Alternative Splicing
1.3.4 Evolution and Conservation of Splicing and Alternative Splicing 1.4 ALTERNATIVE SPLICING DATABASES; 1.4.1 Genomic and Transcriptomic Sequence Analyses; 1.4.2 Literature Overview of Various Alternative Splicing Databases; 1.4.3 SDBs; 1.5 DATA MINING FROM ALTERNATIVE SPLICING DATABASES; 1.5.1 Implementation of dbASQ and Utility of SDBs; 1.5.2 Identification of Transcript-Initial and Transcript-Terminal Variation; ACKNOWLEDGMENTS; WEB RESOURCES; REFERENCES; 2 CLEANING, INTEGRATING, AND WAREHOUSING GENOMIC DATA FROM BIOMEDICAL RESOURCES; 2.1 INTRODUCTION; 2.2 RELATED WORK 2.3 TYPOLOGY OF DATA QUALITY PROBLEMS IN BIOMEDICAL RESOURCES 2.4 CLEANING, INTEGRATING, AND WAREHOUSING BIOMEDICAL DATA; 2.4.1 Lessons Learned from Integrating and Warehousing Biomedical Data on Liver Genes and Diseases; 2.4.2 Data Quality-Aware Solutions; 2.4.3 Biological Entity Resolution and Record Linkage; 2.4.4 Ontology-Based Approaches; 2.5 CONCLUSIONS AND PERSPECTIVES; WEB RESOURCES; REFERENCES; 3 CLEANSING OF MASS SPECTROMETRY DATA FOR PROTEIN IDENTIFICATION AND QUANTIFICATION; 3.1 INTRODUCTION; 3.2 PREPROCESSING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.2.1 Existing Approaches 3.2.2 New Dynamic Wavelet-Based Spectra Preprocessing Method 3.3 IDENTIFICATION FILTERING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.3.1 Existing Approaches; 3.3.2 New Target-Decoy Approach for Improving Protein Identification; 3.4 EVALUATION RESULTS; 3.4.1 Evaluation of New Proprocessing Method; 3.4.2 Evaluation of New Identification Filtering Method; 3.5 CONCLUSION; REFERENCES; 4 FILTERING PROTEIN-PROTEIN INTERACTIONS BY INTEGRATION OF ONTOLOGY DATA; 4.1 INTRODUCTION; 4.2 EVALUATION OF SEMANTIC SIMILARITY; 4.2.1 Gene Ontology; 4.2.2 Survey of Semantic Similarity Measures 4.2.3 Correlation with Functional Categorizations 4.3 IDENTIFICATION OF FALSE PROTEIN-PROTEIN INTERACTION DATA; 4.3.1 Classification Method; 4.3.2 Accuracy of PPI Classification; 4.3.3 Reliability of PPI Data; 4.4 CONCLUSION; REFERENCES; PART B: BIOLOGICAL DATA MODELING; 5 COMPLEXITY AND SYMMETRIES IN DNA SEQUENCES; 5.1 INTRODUCTION; 5.2 ARCHAEA; 5.3 PATTERNS ON INDICATOR MATRIX; 5.3.1 Indicator Matrix; 5.3.2 Test Sequences; 5.4 MEASURE OF COMPLEXITY AND INFORMATION; 5.4.1 Complexity; 5.4.2 Fractal Dimension; 5.4.3 Entropy; 5.5 COMPLEX ROOT REPRESENTATION OF DNA WORDS 5.5.1 Pseudorandom Sequence on Unit Circle |
| Record Nr. | UNINA-9910138969003321 |
Elloumi Mourad
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Biological knowledge discovery handbook : preprocessing, mining and postprocessing of biological data / / edited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors
| Biological knowledge discovery handbook : preprocessing, mining and postprocessing of biological data / / edited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors |
| Autore | Elloumi Mourad |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (1192 p.) |
| Disciplina | 572.80285 |
| Altri autori (Persone) |
ElloumiMourad
RutkowskiMichael AbbassJad |
| Collana | Wiley Series in Bioinformatics : Computational Techniques and Engineering |
| Soggetto topico |
Bioinformatics
Computational biology Data mining |
| ISBN |
1-118-85372-5
1-118-61715-0 1-118-61711-8 |
| Classificazione | COM021040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BIOLOGICAL KNOWLEDGE DISCOVERY HANDBOOK: Preprocessing, Mining, and Postprocessing of Biological Data; CONTENTS; PREFACE; CONTRIBUTORS; SECTION I: BIOLOGICAL DATA PREPROCESSING; PART A: BIOLOGICAL DATA MANAGEMENT; 1 GENOME AND TRANSCRIPTOME SEQUENCE DATABASES FOR DISCOVERY, STORAGE, AND REPRESENTATION OF ALTERNATIVE SPLICING EVENTS; 1.1 INTRODUCTION; 1.2 SPLICING; 1.2.1 Mechanism of Splicing; 1.2.2 Regulation of Splicing; 1.3 ALTERNATIVE SPLICING; 1.3.1 Introduction to Alternative Splicing; 1.3.2 Mechanism of Alternative Splicing; 1.3.3 Regulation of Alternative Splicing
1.3.4 Evolution and Conservation of Splicing and Alternative Splicing 1.4 ALTERNATIVE SPLICING DATABASES; 1.4.1 Genomic and Transcriptomic Sequence Analyses; 1.4.2 Literature Overview of Various Alternative Splicing Databases; 1.4.3 SDBs; 1.5 DATA MINING FROM ALTERNATIVE SPLICING DATABASES; 1.5.1 Implementation of dbASQ and Utility of SDBs; 1.5.2 Identification of Transcript-Initial and Transcript-Terminal Variation; ACKNOWLEDGMENTS; WEB RESOURCES; REFERENCES; 2 CLEANING, INTEGRATING, AND WAREHOUSING GENOMIC DATA FROM BIOMEDICAL RESOURCES; 2.1 INTRODUCTION; 2.2 RELATED WORK 2.3 TYPOLOGY OF DATA QUALITY PROBLEMS IN BIOMEDICAL RESOURCES 2.4 CLEANING, INTEGRATING, AND WAREHOUSING BIOMEDICAL DATA; 2.4.1 Lessons Learned from Integrating and Warehousing Biomedical Data on Liver Genes and Diseases; 2.4.2 Data Quality-Aware Solutions; 2.4.3 Biological Entity Resolution and Record Linkage; 2.4.4 Ontology-Based Approaches; 2.5 CONCLUSIONS AND PERSPECTIVES; WEB RESOURCES; REFERENCES; 3 CLEANSING OF MASS SPECTROMETRY DATA FOR PROTEIN IDENTIFICATION AND QUANTIFICATION; 3.1 INTRODUCTION; 3.2 PREPROCESSING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.2.1 Existing Approaches 3.2.2 New Dynamic Wavelet-Based Spectra Preprocessing Method 3.3 IDENTIFICATION FILTERING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.3.1 Existing Approaches; 3.3.2 New Target-Decoy Approach for Improving Protein Identification; 3.4 EVALUATION RESULTS; 3.4.1 Evaluation of New Proprocessing Method; 3.4.2 Evaluation of New Identification Filtering Method; 3.5 CONCLUSION; REFERENCES; 4 FILTERING PROTEIN-PROTEIN INTERACTIONS BY INTEGRATION OF ONTOLOGY DATA; 4.1 INTRODUCTION; 4.2 EVALUATION OF SEMANTIC SIMILARITY; 4.2.1 Gene Ontology; 4.2.2 Survey of Semantic Similarity Measures 4.2.3 Correlation with Functional Categorizations 4.3 IDENTIFICATION OF FALSE PROTEIN-PROTEIN INTERACTION DATA; 4.3.1 Classification Method; 4.3.2 Accuracy of PPI Classification; 4.3.3 Reliability of PPI Data; 4.4 CONCLUSION; REFERENCES; PART B: BIOLOGICAL DATA MODELING; 5 COMPLEXITY AND SYMMETRIES IN DNA SEQUENCES; 5.1 INTRODUCTION; 5.2 ARCHAEA; 5.3 PATTERNS ON INDICATOR MATRIX; 5.3.1 Indicator Matrix; 5.3.2 Test Sequences; 5.4 MEASURE OF COMPLEXITY AND INFORMATION; 5.4.1 Complexity; 5.4.2 Fractal Dimension; 5.4.3 Entropy; 5.5 COMPLEX ROOT REPRESENTATION OF DNA WORDS 5.5.1 Pseudorandom Sequence on Unit Circle |
| Record Nr. | UNINA-9910821103803321 |
|
Elloumi Mourad
|
||
| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications : DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings / / edited by Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer
| Database and Expert Systems Applications : DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings / / edited by Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 222 p. 59 illus., 30 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Data mining Information storage and retrieval Machine learning Computer security Optical data processing Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Machine Learning Systems and Data Security Image Processing and Computer Vision |
| ISBN | 3-030-27684-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910349287003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and Expert Systems Applications : DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings / / edited by Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland Wagner
| Database and Expert Systems Applications : DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3–6, 2018, Proceedings / / edited by Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland Wagner |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (IX, 316 p. 81 illus.) |
| Disciplina | 006.312 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Information storage and retrieval Data mining Application software Bioinformatics Computational biology Database Management Information Storage and Retrieval Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Computer Appl. in Life Sciences |
| ISBN | 3-319-99133-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | BDMICS 2918 -- Parallel data management systems, consistency and privacy -- Cloud computing and graph queries -- BIOKDD 2018 -- TIR 2018 -- Web and domain corpora -- NLP applications -- Social media and personalization. |
| Record Nr. | UNINA-9910299305603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Deep learning for biomedical data analysis : techniques, approaches, and applications / / Mourad Elloumi, editor
| Deep learning for biomedical data analysis : techniques, approaches, and applications / / Mourad Elloumi, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (358 pages) |
| Disciplina | 610.285 |
| Soggetto topico | Artificial intelligence - Medical applications |
| ISBN | 3-030-71676-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910492141203321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition in computational molecular biology : techniques and approaches / / edited by Mourad Elloumi [and three others] ; contributors, Andrej Aderhold [and eighty others]
| Pattern recognition in computational molecular biology : techniques and approaches / / edited by Mourad Elloumi [and three others] ; contributors, Andrej Aderhold [and eighty others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 572.8 |
| Collana | Wiley Series in Bioinformatics: Computational Techniques and Engineering |
| Soggetto topico |
Molecular biology - Data processing
Computational biology Pattern recognition systems |
| ISBN |
1-119-07886-5
1-119-07885-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Wiley Series; Title Page; Copyright; Table of Contents; List of Contributors; Preface; Part 1: Pattern Recognition in Sequences; Chapter 1: Combinatorial Haplotyping Problems; 1.1 Introduction; 1.2 Single Individual Haplotyping; 1.3 Population Haplotyping; References; Chapter 2: Algorithmic Perspectives of the String Barcoding Problems; 2.1 Introduction; 2.2 Summary of Algorithmic Complexity Results for Barcoding Problems; 2.3 Entropy-Based Information Content Technique for Designing Approximation Algorithms for String Barcoding Problems
2.4 Techniques for Proving Inapproximability Results for String Barcoding Problems2.5 Heuristic Algorithms for String Barcoding Problems; 2.6 Conclusion; Acknowledgments; References; Chapter 3: Alignment-Free Measures for Whole-Genome Comparison; 3.1 Introduction; 3.2 Whole-Genome Sequence Analysis; 3.3 Underlying Approach; 3.4 Experimental Results; 3.5 Conclusion; Author's Contributions; 3.6 Acknowledgments; References; Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment; 4.1 Introduction; 4.2 Multiple Sequence Local Alignment; 4.3 Motif Finding Algorithms 4.4 Time Complexity4.5 Case Studies; 4.6 Conclusion; References; Chapter 5: Global Sequence Alignment with a Bounded Number of Gaps; 5.1 Introduction; 5.2 Definitions and Notation; 5.3 Problem Definition; 5.4 Algorithms; 5.5 Conclusion; References; Part 2: Pattern Recognition in Secondary Structures; Chapter 6: A Short Review on Protein Secondary Structure Prediction Methods; 6.1 Introduction; 6.2 Representative Protein Secondary Structure Prediction Methods; 6.3 Evaluation of Protein Secondary Structure Prediction Methods; 6.4 Conclusion; Acknowledgments; References Chapter 7: A Generic Approach to Biological Sequence Segmentation Problems: Application to Protein Secondary Structure Prediction7.1 Introduction; 7.2 Biological Sequence Segmentation; 7.3 MSVMpred; 7.4 Postprocessing with A Generative Model; 7.5 Dedication to Protein Secondary Structure Prediction; 7.6 Conclusions and Ongoing Research; Acknowledgments; References; Chapter 8: Structural Motif Identification and Retrieval: A Geometrical Approach; 8.1 Introduction; 8.2 A Few Basic Concepts; 8.3 State of The Art; 8.4 A Novel Geometrical Approach to Motif Retrieval; 8.5 Implementation Notes 8.6 Conclusions and Future WorkAcknowledgment; References; Chapter 9: Genome-Wide Search for Pseudoknotted Noncoding RNA: A Comparative Study; 9.1 Introduction; 9.2 Background; 9.3 Methodology; 9.4 Results and Interpretation; 9.5 Conclusion; References; Part 3: Pattern Recognition in Tertiary Structures; Chapter 10: Motif Discovery in Protein 3D-Structures using Graph Mining Techniques; 10.1 Introduction; 10.2 From Protein 3D-Structures to Protein Graphs; 10.3 Graph Mining; 10.4 Subgraph Mining; 10.5 Frequent Subgraph Discovery; 10.6 Feature Selection; 10.7 Feature Selection for Subgraphs 10.8 Discussion |
| Record Nr. | UNINA-9910137171903321 |
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition in computational molecular biology : techniques and approaches / / edited by Mourad Elloumi [and three others] ; contributors, Andrej Aderhold [and eighty others]
| Pattern recognition in computational molecular biology : techniques and approaches / / edited by Mourad Elloumi [and three others] ; contributors, Andrej Aderhold [and eighty others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (720 p.) |
| Disciplina | 572.8 |
| Collana | Wiley Series in Bioinformatics: Computational Techniques and Engineering |
| Soggetto topico |
Molecular biology - Data processing
Computational biology Pattern recognition systems |
| ISBN |
1-119-07886-5
1-119-07885-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Wiley Series; Title Page; Copyright; Table of Contents; List of Contributors; Preface; Part 1: Pattern Recognition in Sequences; Chapter 1: Combinatorial Haplotyping Problems; 1.1 Introduction; 1.2 Single Individual Haplotyping; 1.3 Population Haplotyping; References; Chapter 2: Algorithmic Perspectives of the String Barcoding Problems; 2.1 Introduction; 2.2 Summary of Algorithmic Complexity Results for Barcoding Problems; 2.3 Entropy-Based Information Content Technique for Designing Approximation Algorithms for String Barcoding Problems
2.4 Techniques for Proving Inapproximability Results for String Barcoding Problems2.5 Heuristic Algorithms for String Barcoding Problems; 2.6 Conclusion; Acknowledgments; References; Chapter 3: Alignment-Free Measures for Whole-Genome Comparison; 3.1 Introduction; 3.2 Whole-Genome Sequence Analysis; 3.3 Underlying Approach; 3.4 Experimental Results; 3.5 Conclusion; Author's Contributions; 3.6 Acknowledgments; References; Chapter 4: A Maximum Likelihood Framework for Multiple Sequence Local Alignment; 4.1 Introduction; 4.2 Multiple Sequence Local Alignment; 4.3 Motif Finding Algorithms 4.4 Time Complexity4.5 Case Studies; 4.6 Conclusion; References; Chapter 5: Global Sequence Alignment with a Bounded Number of Gaps; 5.1 Introduction; 5.2 Definitions and Notation; 5.3 Problem Definition; 5.4 Algorithms; 5.5 Conclusion; References; Part 2: Pattern Recognition in Secondary Structures; Chapter 6: A Short Review on Protein Secondary Structure Prediction Methods; 6.1 Introduction; 6.2 Representative Protein Secondary Structure Prediction Methods; 6.3 Evaluation of Protein Secondary Structure Prediction Methods; 6.4 Conclusion; Acknowledgments; References Chapter 7: A Generic Approach to Biological Sequence Segmentation Problems: Application to Protein Secondary Structure Prediction7.1 Introduction; 7.2 Biological Sequence Segmentation; 7.3 MSVMpred; 7.4 Postprocessing with A Generative Model; 7.5 Dedication to Protein Secondary Structure Prediction; 7.6 Conclusions and Ongoing Research; Acknowledgments; References; Chapter 8: Structural Motif Identification and Retrieval: A Geometrical Approach; 8.1 Introduction; 8.2 A Few Basic Concepts; 8.3 State of The Art; 8.4 A Novel Geometrical Approach to Motif Retrieval; 8.5 Implementation Notes 8.6 Conclusions and Future WorkAcknowledgment; References; Chapter 9: Genome-Wide Search for Pseudoknotted Noncoding RNA: A Comparative Study; 9.1 Introduction; 9.2 Background; 9.3 Methodology; 9.4 Results and Interpretation; 9.5 Conclusion; References; Part 3: Pattern Recognition in Tertiary Structures; Chapter 10: Motif Discovery in Protein 3D-Structures using Graph Mining Techniques; 10.1 Introduction; 10.2 From Protein 3D-Structures to Protein Graphs; 10.3 Graph Mining; 10.4 Subgraph Mining; 10.5 Frequent Subgraph Discovery; 10.6 Feature Selection; 10.7 Feature Selection for Subgraphs 10.8 Discussion |
| Record Nr. | UNINA-9910819436003321 |
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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