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Aquaculture genome technologies [[electronic resource] /] / Zhanjiang (John) Liu [editor]
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
Materiale a stampa
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Bioinformatics and Functional Genomics
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  
Hoboken : , : John Wiley & Sons, Incorporated, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Bioinformatics and Functional Genomics
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  
Hoboken : , : John Wiley & Sons, Incorporated, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Bioinformatics and functional genomics [[electronic resource] /] / Jonathan Pevsner
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->  
Hoboken, N.J., : Wiley-Blackwell, c2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Comparative Genomics [[electronic resource] /] / by Xuhua Xia
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->  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
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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
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
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Comparative Genomics [[electronic resource] ] : RECOMB 2005 International Workshop, RCG 2005, Dublin, Ireland, September 18-20, 2005, Proceedings / / edited by Aoife McLysaght, Daniel H. Huson
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data analysis and visualization in genomics and proteomics [[electronic resource] /] / editors, Francisco Azuaje and Joaquín Dopazo
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
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui