Aquaculture genome technologies [[electronic resource] /] / Zhanjiang (John) Liu [editor] |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Ames, Iowa, : Blackwell Pub., 2007 |
Descrizione fisica | 1 online resource (579 p.) |
Disciplina |
572.8/6
572.86 |
Altri autori (Persone) | LiuZhanjiang |
Soggetto topico |
Genomics
Aquatic germplasm resources Aquaculture |
ISBN |
1-282-36513-4
9786612365133 0-470-27756-4 0-470-27633-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Concept of genomes and genomics / Zhanjiang Liu -- Restriction fragment length polymorphism (RFLP) / Zhanjiang Liu -- Randomly amplified polymorphic DNA (RAPD) / Zhanjiang Liu -- Amplified fragment length polymorphism (AFLP) / Zhanjiang Liu -- Microsatellite markers and assessment of marker utility / Zhanjiang Liu -- Single nucleotide polymorphism (SNP) / Zhanjiang Liu -- Allozyme and mitochondrial DNA markers / Huseyin Kucuktas and Zhanjiang Liu -- Individual-based genotype methods in aquaculture / Pierre Duchesne and Louis Bernatchez -- Application of DNA markers for population genetic analysis / Eric M. Hallerman, Paul J. Grobler, and Jess W. Jones -- Linkage mapping in aquaculture species / Roy G. Danzmann and Karim Gharbi -- Detection and analysis of quantitative trait loci (QTL) for economic traits in aquatic species / Abraham Korol ... [et al.] -- Marker-assisted selection for aquaculture species / Max F. Rothschild and Anatoly Ruvinsky -- Construction of large-insert bacterial clone libraries and their applications / Limei He ... [et al.] -- Bacterial artificial chromosome libraries and BAC-based physical mapping of aquaculture genomes / William S. Davidson -- Physical characterization of genomes through BAC end sequencing / Peng Xu, Shaolin Wang, and Zhanjiang Liu -- Genomescape: characterizing the repeat structure of the genome / Zhanjiang Liu -- Genomic analyses using fluorescence in situ hybridization / Ximing Guo, Yongping Wang, and Zhe Xu -- Radiation hybrid mapping in aquatic species / Caird E. Rexroad III -- Comparative genomics and positional cloning / Bo-Young Lee and Thomas D. Kocher -- Transcriptome characterization through the analysis of expressed sequence tags / Zhanjiang Liu -- Microarray fundamentals: basic principles and application in aquaculture / Eric Peatman and Zhanjiang Liu -- Salmonid DNA microarrays and other tools for functional genomics research / Matthew L. Rise ... [et al.] -- Computational challenges for the analysis of large datasets related to aquatic environmental genomics / Gregory W. Warr, Jonas S. Almeida, and Robert W. Chapman -- Functional genomics / Perry B. Hackett and Karl J. Clark -- DNA sequencing technologies / Zhanjiang Liu -- Sequencing the genome / Zhanjiang Liu -- Bioinformatics / Lei Liu -- Dealing with duplicated genomes of teleosts / Alan Christoffels -- Bivalve genomics: complications, challenges, and future perspectives / Jason P. Curole and Dennis Hedgecock. |
Record Nr. | UNISA-996206186703316 |
Ames, Iowa, : Blackwell Pub., 2007 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Bioinformatics and Functional Genomics |
Autore | Pevsner Jonathan |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Hoboken : , : John Wiley & Sons, Incorporated, , 2015 |
Descrizione fisica | 1 online resource (1161 pages) |
Disciplina | 572.8/6 |
Soggetto topico |
Bioinformatics
Genomics -- Data processing Molecular biology -- Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
9781118581766
9781118581780 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover -- Title Page -- Copyright Page -- Contents in Brief -- Contents -- Preface to the Third Edition -- About the Companion Website -- Part I Analyzing DNA, RNA, and Protein Sequences -- 1 Introduction -- 2 Access to Sequence Data and Related Information -- 3 Pairwise Sequence Alignment -- 4 Basic Local Alignment Search Tool (BLAST) -- 5 Advanced Database Searching -- 6 Multiple Sequence Alignment -- 7 Molecular Phylogeny and Evolution -- Part II Genomewide Analysis of DNA, RNA, and Protein -- 8 DNA: The Eukaryotic Chromosome -- 9 Analysis of Next-Generation Sequence Data -- 10 Bioinformatic Approaches to Ribonucleic Acid (RNA) -- 11 Gene Expression: Microarray and RNA-seq Data Analysis -- 12 Protein Analysis and Proteomics -- 13 Protein Structure -- 14 Functional Genomics -- Part III Genome Analysis -- 15 Genomes Across the Tree of Life -- 16 Completed Genomes: Viruses -- 17 Completed Genomes: Bacteria and Archaea -- 18 Eukaryotic Genomes: Fungi -- 19 Eukaryotic Genomes: From Parasites to Primates -- 20 Human Genome -- 21 Human Disease -- Glossary -- Self-Test Quiz: Solutions -- Author Index -- Subject Index -- Wiley End User License Agreement. |
Record Nr. | UNINA-9910795829703321 |
Pevsner Jonathan
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Hoboken : , : John Wiley & Sons, Incorporated, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Functional Genomics |
Autore | Pevsner Jonathan |
Edizione | [3rd ed.] |
Pubbl/distr/stampa | Hoboken : , : John Wiley & Sons, Incorporated, , 2015 |
Descrizione fisica | 1 online resource (1161 pages) |
Disciplina | 572.8/6 |
Soggetto topico |
Bioinformatics
Genomics -- Data processing Molecular biology -- Data processing |
Soggetto genere / forma | Electronic books. |
ISBN |
9781118581766
9781118581780 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Cover -- Title Page -- Copyright Page -- Contents in Brief -- Contents -- Preface to the Third Edition -- About the Companion Website -- Part I Analyzing DNA, RNA, and Protein Sequences -- 1 Introduction -- 2 Access to Sequence Data and Related Information -- 3 Pairwise Sequence Alignment -- 4 Basic Local Alignment Search Tool (BLAST) -- 5 Advanced Database Searching -- 6 Multiple Sequence Alignment -- 7 Molecular Phylogeny and Evolution -- Part II Genomewide Analysis of DNA, RNA, and Protein -- 8 DNA: The Eukaryotic Chromosome -- 9 Analysis of Next-Generation Sequence Data -- 10 Bioinformatic Approaches to Ribonucleic Acid (RNA) -- 11 Gene Expression: Microarray and RNA-seq Data Analysis -- 12 Protein Analysis and Proteomics -- 13 Protein Structure -- 14 Functional Genomics -- Part III Genome Analysis -- 15 Genomes Across the Tree of Life -- 16 Completed Genomes: Viruses -- 17 Completed Genomes: Bacteria and Archaea -- 18 Eukaryotic Genomes: Fungi -- 19 Eukaryotic Genomes: From Parasites to Primates -- 20 Human Genome -- 21 Human Disease -- Glossary -- Self-Test Quiz: Solutions -- Author Index -- Subject Index -- Wiley End User License Agreement. |
Record Nr. | UNINA-9910808997603321 |
Pevsner Jonathan
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Hoboken : , : John Wiley & Sons, Incorporated, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and functional genomics [[electronic resource] /] / Jonathan Pevsner |
Autore | Pevsner Jonathan <1961-> |
Edizione | [2nd ed.] |
Pubbl/distr/stampa | Hoboken, N.J., : Wiley-Blackwell, c2009 |
Descrizione fisica | 1 online resource (990 p.) |
Disciplina |
572.0285
572.8/6 572.86 |
Soggetto topico |
Genomics
Bioinformatics Proteomics |
ISBN |
1-118-68841-4
1-282-13736-0 9786612137365 0-470-45149-1 0-470-45148-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Access to sequence data and literature information -- Pairwise sequence alignment -- Basic local alignment search tool (BLAST) -- Advanced database searching -- Multiple sequence alignment -- Molecular phylogeny and evolution -- Bioinformatic approaches to ribonucleic acid (RNA) -- Gene expression : microarray data analysis -- Protein analysis and proteomics -- Protein structure -- Functional genomics -- Completed genomes -- Completed genomes : viruses -- Completed genomes : bacteria and archaea -- The eukaryotic chromosome -- Eukaryotic genomes : fungi -- Eukaryotic genomes : from parasites to primates -- Human genome -- Human disease. |
Record Nr. | UNINA-9910146409603321 |
Pevsner Jonathan <1961->
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Hoboken, N.J., : Wiley-Blackwell, c2009 | ||
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Lo trovi qui: Univ. Federico II | ||
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Comparative Genomics [[electronic resource] /] / by Xuhua Xia |
Autore | Xia Xuhua <1959-> |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
Descrizione fisica | 1 online resource (77 p.) |
Disciplina |
572.8/6
572.86 |
Collana | SpringerBriefs in Genetics |
Soggetto topico |
Evolutionary biology
Molecular ecology Biomathematics Microbial genetics Microbial genomics Animal genetics Evolutionary Biology Molecular Ecology Mathematical and Computational Biology Microbial Genetics and Genomics Animal Genetics and Genomics |
ISBN | 3-642-37146-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Acknowledgments -- Chapter 1.What is Comparative Genomics? -- Chapter 2.Comparative Genomics and the Comparative Methods -- Chapter 3.Comparative Viral Genomics: Detecting Recombination -- Index. |
Record Nr. | UNINA-9910437828003321 |
Xia Xuhua <1959->
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
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Lo trovi qui: Univ. Federico II | ||
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Comparative Genomics [[electronic resource] ] : RECOMB 2005 International Workshop, RCG 2005, Dublin, Ireland, September 18-20, 2005, Proceedings / / edited by Aoife McLysaght, Daniel H. Huson |
Edizione | [1st ed. 2005.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
Descrizione fisica | 1 online resource (VIII, 168 p.) |
Disciplina | 572.8/6 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Biochemistry
Algorithms Data structures (Computer science) Computer science—Mathematics Database management Bioinformatics Biochemistry, general Algorithm Analysis and Problem Complexity Data Structures Discrete Mathematics in Computer Science Database Management |
ISBN | 3-540-31814-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Lower Bounds for Maximum Parsimony with Gene Order Data -- Genes Order and Phylogenetic Reconstruction: Application to ?-Proteobacteria -- Maximizing Synteny Blocks to Identify Ancestral Homologs -- An Expectation-Maximization Algorithm for Analysis of Evolution of Exon-Intron Structure of Eukaryotic Genes -- Likely Scenarios of Intron Evolution -- OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements -- The Incompatible Desiderata of Gene Cluster Properties -- The String Barcoding Problem is NP-Hard -- A Partial Solution to the C-Value Paradox -- Individual Gene Cluster Statistics in Noisy Maps -- Power Boosts for Cluster Tests -- Reversals of Fortune -- Very Low Power to Detect Asymmetric Divergence of Duplicated Genes -- A Framework for Orthology Assignment from Gene Rearrangement Data. |
Record Nr. | UNISA-996465622003316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Comparative Genomics [[electronic resource] ] : RECOMB 2005 International Workshop, RCG 2005, Dublin, Ireland, September 18-20, 2005, Proceedings / / edited by Aoife McLysaght, Daniel H. Huson |
Edizione | [1st ed. 2005.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
Descrizione fisica | 1 online resource (VIII, 168 p.) |
Disciplina | 572.8/6 |
Collana | Lecture Notes in Bioinformatics |
Soggetto topico |
Biochemistry
Algorithms Data structures (Computer science) Computer science—Mathematics Database management Bioinformatics Biochemistry, general Algorithm Analysis and Problem Complexity Data Structures Discrete Mathematics in Computer Science Database Management |
ISBN | 3-540-31814-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Lower Bounds for Maximum Parsimony with Gene Order Data -- Genes Order and Phylogenetic Reconstruction: Application to ?-Proteobacteria -- Maximizing Synteny Blocks to Identify Ancestral Homologs -- An Expectation-Maximization Algorithm for Analysis of Evolution of Exon-Intron Structure of Eukaryotic Genes -- Likely Scenarios of Intron Evolution -- OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements -- The Incompatible Desiderata of Gene Cluster Properties -- The String Barcoding Problem is NP-Hard -- A Partial Solution to the C-Value Paradox -- Individual Gene Cluster Statistics in Noisy Maps -- Power Boosts for Cluster Tests -- Reversals of Fortune -- Very Low Power to Detect Asymmetric Divergence of Duplicated Genes -- A Framework for Orthology Assignment from Gene Rearrangement Data. |
Record Nr. | UNINA-9910483836403321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
Descrizione fisica | 1 online resource (285 p.) |
Disciplina |
372.860285
572.8/6 |
Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
Record Nr. | UNINA-9910143713103321 |
Hoboken, NJ, : John Wiley, c2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
Descrizione fisica | 1 online resource (285 p.) |
Disciplina |
372.860285
572.8/6 |
Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
Record Nr. | UNINA-9910830512303321 |
Hoboken, NJ, : John Wiley, c2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo |
Pubbl/distr/stampa | Hoboken, NJ, : John Wiley, c2005 |
Descrizione fisica | 1 online resource (285 p.) |
Disciplina |
372.860285
572.8/6 |
Altri autori (Persone) |
AzuajeFrancisco
DopazoJoaquín |
Soggetto topico |
Genomics - Data processing
Proteomics - Data processing Data mining |
ISBN |
1-280-27600-2
9786610276004 0-470-09441-9 0-470-09440-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Data Analysis and Visualization in Genomics and Proteomics; Contents; Preface; List of Contributors; SECTION I INTRODUCTION - DATA DIVERSITY AND INTEGRATION; 1 Integrative Data Analysis and Visualization: Introduction to Critical Problems, Goals and Challenges; 1.1 Data Analysis and Visualization: An Integrative Approach; 1.2 Critical Design and Implementation Factors; 1.3 Overview of Contributions; References; 2 Biological Databases: Infrastructure, Content and Integration; 2.1 Introduction; 2.2 Data Integration; 2.3 Review of Molecular Biology Databases; 2.4 Conclusion; References
3 Data and Predictive Model Integration: an Overview of Key Concepts, Problems and Solutions3.1 Integrative Data Analysis and Visualization: Motivation and Approaches; 3.2 Integrating Informational Views and Complexity for Understanding Function; 3.3 Integrating Data Analysis Techniques for Supporting Functional Analysis; 3.4 Final Remarks; References; SECTION II INTEGRATIVE DATA MINING AND VISUALIZATION - EMPHASIS ON COMBINATION OF MULTIPLE DATA TYPES; 4 Applications of Text Mining in Molecular Biology, from Name Recognition to Protein Interaction Maps; 4.1 Introduction 4.2 Introduction to Text Mining and NLP4.3 Databases and Resources for Biomedical Text Mining; 4.4 Text Mining and Protein-Protein Interactions; 4.5 Other Text-Mining Applications in Genomics; 4.6 The Future of NLP in Biomedicine; Acknowledgements; References; 5 Protein Interaction Prediction by Integrating Genomic Features and Protein Interaction Network Analysis; 5.1 Introduction; 5.2 Genomic Features in Protein Interaction Predictions; 5.3 Machine Learning on Protein-Protein Interactions; 5.4 The Missing Value Problem; 5.5 Network Analysis of Protein Interactions; 5.6 Discussion References6 Integration of Genomic and Phenotypic Data; 6.1 Phenotype; 6.2 Forward Genetics and QTL Analysis; 6.3 Reverse Genetics; 6.4 Prediction of Phenotype from Other Sources of Data; 6.5 Integrating Phenotype Data with Systems Biology; 6.6 Integration of Phenotype Data in Databases; 6.7 Conclusions; References; 7 Ontologies and Functional Genomics; 7.1 Information Mining in Genome-Wide Functional Analysis; 7.2 Sources of Information: Free Text Versus Curated Repositories; 7.3 Bio-Ontologies and the Gene Ontology in Functional Genomics 7.4 Using GO to Translate the Results of Functional Genomic Experiments into Biological Knowledge7.5 Statistical Approaches to Test Significant Biological Differences; 7.6 Using FatiGO to Find Significant Functional Associations in Clusters of Genes; 7.7 Other Tools; 7.8 Examples of Functional Analysis of Clusters of Genes; 7.9 Future Prospects; References; 8 The C. elegans Interactome: its Generation and Visualization; 8.1 Introduction; 8.2 The ORFeome: the first step toward the interactome of C. elegans 8.3 Large-Scale High-Throughput Yeast Two-Hybrid Screens to Map the C. elegans Protein-Protein Interaction (Interactome) Network: Technical Aspects |
Record Nr. | UNINA-9910841006403321 |
Hoboken, NJ, : John Wiley, c2005 | ||
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Lo trovi qui: Univ. Federico II | ||
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