Mathematics of bioinformatics : theory, practice, and applications / / Matthew He, Sergey Petoukhov |
Autore | He Matthew |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-Interscience, , 2011 |
Descrizione fisica | 1 online resource (317 p.) |
Disciplina |
570.285
572.330285 572/.330285 |
Collana | Wiley series in bioinformatics |
Soggetto topico |
Biomathematics
Bioinformatics Computational biology |
ISBN |
1-118-09952-4
1-283-02531-0 9786613025319 0-470-90463-1 0-470-90464-X |
Classificazione | COM082000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
MATHEMATICS OF BIOINFORMATICS; CONTENTS; PREFACE; ABOUT THE AUTHORS; 1: Bioinformatics and Mathematics; 2: Genetic Codes, Matrices, and Symmetrical Techniques; 3: Biological Sequences, Sequence Alignment, and Statistics; 4: Structures of DNA and Knot Theory; 5: Protein Structures, Geometry, and Topology; 6: Biological Networks and Graph Theory; 7: Biological Systems, Fractals, and Systems Biology; 8: Matrix Genetics, Hadamard Matrices, and Algebraic Biology; 9: Bioinformatics, Denotational Mathematics, and Cognitive Informatics; 10 Evolutionary Trends and Central Dogma of Informatics
APPENDIX A: Bioinformatics Notation and DatabasesAPPENDIX B: Bioinformatics and Genetics Time Line; APPENDIX C: Bioinformatics Glossary; INDEX |
Record Nr. | UNINA-9910139395503321 |
He Matthew
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Hoboken, New Jersey : , : Wiley-Interscience, , 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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Mathematics of bioinformatics : theory, methods, and applications / / Matthew He, Sergey Petoukhov |
Autore | He Matthew |
Pubbl/distr/stampa | Hoboken, NJ, : Wiley-Interscience, 2011 |
Descrizione fisica | 1 online resource (317 p.) |
Disciplina | 572/.330285 |
Altri autori (Persone) | PetukhovS. V (Sergei Valentinovich) |
Collana | Wiley series in bioinformatics |
Soggetto topico |
Bioinformatics
Biomathematics Computational biology |
ISBN |
1-118-09952-4
1-283-02531-0 9786613025319 0-470-90463-1 0-470-90464-X |
Classificazione | COM082000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
MATHEMATICS OF BIOINFORMATICS; CONTENTS; PREFACE; ABOUT THE AUTHORS; 1: Bioinformatics and Mathematics; 2: Genetic Codes, Matrices, and Symmetrical Techniques; 3: Biological Sequences, Sequence Alignment, and Statistics; 4: Structures of DNA and Knot Theory; 5: Protein Structures, Geometry, and Topology; 6: Biological Networks and Graph Theory; 7: Biological Systems, Fractals, and Systems Biology; 8: Matrix Genetics, Hadamard Matrices, and Algebraic Biology; 9: Bioinformatics, Denotational Mathematics, and Cognitive Informatics; 10 Evolutionary Trends and Central Dogma of Informatics
APPENDIX A: Bioinformatics Notation and DatabasesAPPENDIX B: Bioinformatics and Genetics Time Line; APPENDIX C: Bioinformatics Glossary; INDEX |
Record Nr. | UNINA-9910816632503321 |
He Matthew
![]() |
||
Hoboken, NJ, : Wiley-Interscience, 2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Protein families : relating protein sequence, structure, and function / / edited by Christine A. Orengo, Alex Bateman |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2014] |
Descrizione fisica | 1 online resource (567 p.) |
Disciplina | 572/.6 |
Altri autori (Persone) |
OrengoChristine A. <1955->
BatemanAlex <1972-> |
Collana | Wiley series in protein and peptide science |
Soggetto topico |
Proteins
Proteomics Molecular biology - Data processing Bioinformatics |
ISBN |
1-118-74281-8
1-118-74308-3 1-118-74285-0 |
Classificazione | COM082000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Introduction; Contributors; Part I Concepts Underlying Protein Family Classification; Chapter 1 Automated Sequence-Based Approaches for Identifying Domain Families; 1.1 Introduction; 1.2 Motivation Behind Automated Classification; 1.3 Clustering the Sequence Space Graph; 1.4 Historical Overview of Sequence Clustering Algorithms; 1.5 Related Methods; 1.6 Quality Assessment; 1.7 ADDA-The Automatic Domain Delineation Algorithm; 1.8 Results; 1.9 Conclusions; References; Chapter 2 Sequence Classification of Protein Families: Pfam and other Resources; 2.1 Introduction
2.2 Pfam2.3 Smart, Prosite Profiles, CDD and Tigrfams; 2.4 Philosophy of Pfam; 2.5 HMMER3 and Jackhmmer; 2.6 Sources of New Families; 2.7 Annotation of Families; 2.8 The InterPro Collection; 2.9 The Future of Sequence Classification; References; Chapter 3 Classifying Proteins into Domain Structure Families; 3.1 Introduction; 3.2 The Classification Hierarchies Adopted by Scop and Cath; 3.3 Challenges in Identifying Domains in Proteins; 3.4 Structure-Based Approaches for Identifying Related Folds and Homologs; 3.5 Approaches to Structure Comparison; 3.6 The DALI Algorithm 3.7 The SSAP Algorithm Used for Fold Recognition in CATH3.8 Fast Approximate Methods Used to Recognize Folds in CATH; 3.9 Measuring Structural Similarity; 3.10 Multiple Structure Alignment; 3.11 Classification Protocols; 3.12 Population of the Hierarchy; 3.13 Comparisons Between Scop and CATH; 3.14 Hierarchical Classifications Versus Structural Continuum; 3.15 Websites; References; Chapter 4 Structural Annotations of Genomes with Superfamily and Gene3D; 4.1 Introduction; 4.2 The Importance of Being High Throughput; 4.3 The Use of Structural Information; 4.4 Applications; 4.5 History 4.6 Technology4.7 Hidden Markov Models; 4.8 Building Models; 4.9 Domain Annotations; 4.10 High Throughput Computation; 4.11 Development of New Bioinformatics Algorithms; 4.12 Genomes; 4.13 e-Value Scores; 4.14 Other Sequence Sets; 4.15 Data Access; 4.16 Analysis Tools; 4.17 Conclusion; References; Chapter 5 Phylogenomic Databases and Orthology Prediction; 5.1 The Evolution of Novel Functions and Structures in Gene Families; 5.2 Homologs, Orthologs, Paralogs, and Other Evolutionary Terms; 5.3 The Standard Functional Annotation Protocol; 5.4 Orthology Identification Methods and Databases 5.5 Challenges in Phylogenetic Methods of Ortholog Identification5.6 Evaluating Ortholog Identification Methods; 5.7 Orthology Databases; 5.8 Phylogenomic Databases; 5.9 PhyloFacts; 5.10 Subfamily Classification in Phylofacts; 5.11 PhyloFacts 3.0; 5.12 PhylomeDB; 5.13 Panther; 5.14 Structural Phylogenomics: Improved Functional Annotation Through Integration of Information from Structure and Evolution; 5.15 Specific Issues in Phylogenomic Pipelines; 5.16 Improving Functional Inference using Information from Protein Structure; 5.17 Example Case Studies; 5.18 Review of Key Points; References Part II In-Depth Reviews of Protein Families |
Record Nr. | UNINA-9910139014903321 |
Hoboken, New Jersey : , : Wiley, , [2014] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Protein families : relating protein sequence, structure, and function / / edited by Christine A. Orengo, Alex Bateman |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2014] |
Descrizione fisica | 1 online resource (567 p.) |
Disciplina | 572/.6 |
Altri autori (Persone) |
OrengoChristine A. <1955->
BatemanAlex <1972-> |
Collana | Wiley series in protein and peptide science |
Soggetto topico |
Proteins
Proteomics Molecular biology - Data processing Bioinformatics |
ISBN |
1-118-74281-8
1-118-74308-3 1-118-74285-0 |
Classificazione | COM082000 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Contents; Introduction; Contributors; Part I Concepts Underlying Protein Family Classification; Chapter 1 Automated Sequence-Based Approaches for Identifying Domain Families; 1.1 Introduction; 1.2 Motivation Behind Automated Classification; 1.3 Clustering the Sequence Space Graph; 1.4 Historical Overview of Sequence Clustering Algorithms; 1.5 Related Methods; 1.6 Quality Assessment; 1.7 ADDA-The Automatic Domain Delineation Algorithm; 1.8 Results; 1.9 Conclusions; References; Chapter 2 Sequence Classification of Protein Families: Pfam and other Resources; 2.1 Introduction
2.2 Pfam2.3 Smart, Prosite Profiles, CDD and Tigrfams; 2.4 Philosophy of Pfam; 2.5 HMMER3 and Jackhmmer; 2.6 Sources of New Families; 2.7 Annotation of Families; 2.8 The InterPro Collection; 2.9 The Future of Sequence Classification; References; Chapter 3 Classifying Proteins into Domain Structure Families; 3.1 Introduction; 3.2 The Classification Hierarchies Adopted by Scop and Cath; 3.3 Challenges in Identifying Domains in Proteins; 3.4 Structure-Based Approaches for Identifying Related Folds and Homologs; 3.5 Approaches to Structure Comparison; 3.6 The DALI Algorithm 3.7 The SSAP Algorithm Used for Fold Recognition in CATH3.8 Fast Approximate Methods Used to Recognize Folds in CATH; 3.9 Measuring Structural Similarity; 3.10 Multiple Structure Alignment; 3.11 Classification Protocols; 3.12 Population of the Hierarchy; 3.13 Comparisons Between Scop and CATH; 3.14 Hierarchical Classifications Versus Structural Continuum; 3.15 Websites; References; Chapter 4 Structural Annotations of Genomes with Superfamily and Gene3D; 4.1 Introduction; 4.2 The Importance of Being High Throughput; 4.3 The Use of Structural Information; 4.4 Applications; 4.5 History 4.6 Technology4.7 Hidden Markov Models; 4.8 Building Models; 4.9 Domain Annotations; 4.10 High Throughput Computation; 4.11 Development of New Bioinformatics Algorithms; 4.12 Genomes; 4.13 e-Value Scores; 4.14 Other Sequence Sets; 4.15 Data Access; 4.16 Analysis Tools; 4.17 Conclusion; References; Chapter 5 Phylogenomic Databases and Orthology Prediction; 5.1 The Evolution of Novel Functions and Structures in Gene Families; 5.2 Homologs, Orthologs, Paralogs, and Other Evolutionary Terms; 5.3 The Standard Functional Annotation Protocol; 5.4 Orthology Identification Methods and Databases 5.5 Challenges in Phylogenetic Methods of Ortholog Identification5.6 Evaluating Ortholog Identification Methods; 5.7 Orthology Databases; 5.8 Phylogenomic Databases; 5.9 PhyloFacts; 5.10 Subfamily Classification in Phylofacts; 5.11 PhyloFacts 3.0; 5.12 PhylomeDB; 5.13 Panther; 5.14 Structural Phylogenomics: Improved Functional Annotation Through Integration of Information from Structure and Evolution; 5.15 Specific Issues in Phylogenomic Pipelines; 5.16 Improving Functional Inference using Information from Protein Structure; 5.17 Example Case Studies; 5.18 Review of Key Points; References Part II In-Depth Reviews of Protein Families |
Record Nr. | UNINA-9910823125703321 |
Hoboken, New Jersey : , : Wiley, , [2014] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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