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Biblioteca

MARC Lista (tabellare)
Geni e genomi / Maxine Singer, Paul Berg
Geni e genomi / Maxine Singer, Paul Berg
Autore Singer, Maxine
Pubbl/distr/stampa Bologna : Zanichelli, 1993
Descrizione fisica XX, 1036 p. : ill. ; 28 cm.
Disciplina 572.86(Acido desossiribonucleico. DNA. Geni e genomi)
Altri autori (Persone) Berg, Paul
ISBN 88-08-16888-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNICAMPANIA-SUN0016848
Singer, Maxine  
Bologna : Zanichelli, 1993
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Geni e genomi / Maxine Singer, Paul Berg
Geni e genomi / Maxine Singer, Paul Berg
Autore Singer, Maxine
Pubbl/distr/stampa Bologna, : Zanichelli, 1993
Descrizione fisica XX, 1036 p. : ill. ; 28 cm
Disciplina 572.86
574.873 28
Altri autori (Persone) Berg, Paul
Soggetto non controllato Genomi
Genetica molecolare
ISBN 88-08-16888-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-990001784850403321
Singer, Maxine  
Bologna, : Zanichelli, 1993
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Geni e genomi / Maxine Singer, Paul Berg
Geni e genomi / Maxine Singer, Paul Berg
Autore Singer, Maxine
Pubbl/distr/stampa Bologna, : Zanichelli, 1993
Descrizione fisica XX, 1036 p. : ill. ; 28 cm
Disciplina 572.86(Acido desossiribonucleico. DNA. Geni e genomi)
Altri autori (Persone) Berg, Paul
ISBN 88-08-16888-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0016848
Singer, Maxine  
Bologna, : Zanichelli, 1993
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Geni e genomi / Maxine Singer, Paul Berg
Geni e genomi / Maxine Singer, Paul Berg
Autore Singer, Maxine
Pubbl/distr/stampa Bologna : Zanichelli, 1993
Descrizione fisica XX, 1036 p. : ill. ; 28 cm
Disciplina 572.86
Altri autori (Persone) Berg, Paulauthor
Soggetto topico DNA
Biophysics
ISBN 8808168883
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISALENTO-991003485429707536
Singer, Maxine  
Bologna : Zanichelli, 1993
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Geni in conflitto : la biologia degli elementi genetici egoisti / Austin Burt, Robert Trivers ; traduzione di Elisa Faravelli e Allegra Panini ; edizione italiana a cura di Edoardo Boncinelli
Geni in conflitto : la biologia degli elementi genetici egoisti / Austin Burt, Robert Trivers ; traduzione di Elisa Faravelli e Allegra Panini ; edizione italiana a cura di Edoardo Boncinelli
Autore BURT, Austin
Pubbl/distr/stampa Torino : Codice, 2008
Descrizione fisica VIII, 587 p. : ill. ; 22 cm
Disciplina 572.86
Altri autori (Persone) TRIVERS, Robert
Soggetto topico Genetica molecolare
ISBN 978-88-7578-097-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990003672000203316
BURT, Austin  
Torino : Codice, 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Genome and genomics : from archaea to eukaryotes / / K. V. Chaitanya
Genome and genomics : from archaea to eukaryotes / / K. V. Chaitanya
Autore Chaitanya K. V.
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Gateway East, Singapore : , : Springer, , [2019]
Descrizione fisica 1 online resource (XIX, 307 p. 21 illus., 2 illus. in color.)
Disciplina 572.86
Soggetto topico Genomics
Genomes
Enginyeria biomèdica
Soggetto genere / forma Llibres electrònics
ISBN 981-15-0702-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Structure and Organization of Virus Genomes -- Chapter 2. Archaeal Genomics -- Chapter 3. Structure, Function, and Evolution of Bacterial Genomes -- Chapter 4. Organellar Genome Analysis -- Chapter 5. Eukaryotic Genome Organization, Regulation, Evolution, and Control -- Chapter 6. Genome sequencing, Assembly and Annotation -- Chapter 7. Other Omics Integrated into Biosciences -- Chapter 8.Application of genomics -- Chapter 9. Important Databases Related to the Genomes.
Record Nr. UNINA-9910373916303321
Chaitanya K. V.  
Gateway East, Singapore : , : Springer, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Genome Data Analysis [[electronic resource] /] / by Ju Han Kim
Genome Data Analysis [[electronic resource] /] / by Ju Han Kim
Autore Kim Ju Han
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xvi, 367 pages) : illustrations
Disciplina 572.86
Collana Learning Materials in Biosciences
Soggetto topico Bioinformatics
Medicine
Statistics 
Biomedicine, general
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 981-13-1942-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1. BIOINFORMATICS FOR LIFE AND PERSONAL GENOME INTERPRETATION -- Chapter 1. Bioinformatics For Life -- Chapter 2. Next Generation Sequencing and Personal Genome Data Analysis -- Chapter 3. Personal Genome Data Analysis -- Chapter 4. Personal Genome Interpretation and Disease Risk Prediction -- Part 2. ADVANCED MICROARRAY DATA ANALYSIS -- Chapter 5. Advanced Microarray Data Analysis -- Chapter 6. Gene Expression Data Analysis -- Chapter 7. Gene Ontology and Biological Pathway-based Analysis -- Chapter 8. Gene-set Approaches and Prognostic Subgroup Prediction -- Chapter 9. MicroRNA Data Analysis -- Part 3. NETWORK BIOLOGY, SEQUENCE, PATHWAY AND ONTOLOGY INFORMATICS -- Chapter 10. Network Biology, Sequence, Pathway and Ontology Informatics -- Chapter 11. Motif and Regulatory Sequence Analysis -- Chapter 12. Molecular Pathways and Gene Ontology -- Chapter 13. Biological Network Analysis -- Part 4. SNPS, GWAS AND CNVS, INFORMATICS FOR GENOME VARIANTS -- Chapter 14. SNPs, GWAS, CNVs: Informatics for Human Genome Variations -- Chapter 15. SNP Data Analysis -- Chapter 16. GWAS Data Analysis -- Chapter 17. CNV Data Analysis -- Part 5. METAGENOME AND EPIGENOME, BASIC DATA ANALYSIS -- Chapter 18. Metagenome and Epigenome Data Analysis -- Chapter 19. Metagenome Data Analysis -- Chapter 20. Epigenome Databases and Tools -- Chapter 21. Epigenome Data Analysis -- Appendix A. BASIC PRACTICE USING R FOR DATA ANALYSIS -- Appendix B. APPLICATION PROGRAM FOR GENOME DATA ANALYSIS INSTALL GUIDE.
Record Nr. UNINA-9910350348403321
Kim Ju Han  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Pubbl/distr/stampa London, : Imperial College Press, c2010
Descrizione fisica 1 online resource (280 p.)
Disciplina 572.80285
572.86
Altri autori (Persone) AkutsuTatsuya <1962->
Collana Genome informatics series
Soggetto topico Genomics - Data processing
Genomics
Bioinformatics
Biological systems
Soggetto genere / forma Electronic books.
ISBN 1-283-14348-8
9786613143488
1-84816-658-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; PROGRAM COMMITTEE; KINETIC MODELLING OF DNA REPLICATION INITIATION IN BUDDING YEAST; 1. Introduction; 2. ODE Model of the DNA Replication Initiation; 2.1. Model Construction; 2.2. Deriving Parameters from Experimental Data; 2.3. Fitting Parameters to Experimental Data; 3. Results; 3.1. Simulation Results and Network Properties; 3.2. DNA Replication Mutants; 4. Discussion; 5. Conclusion; Acknowledgments; Appendix A.; Appendix A.1. Detailed Description of the Replisome Activation; Appendix A.1.1. Assembly of the Pre-RC
Appendix A.1.2. Assembly of the Pre-IC and Replisome Activation References; PREDICTING PROTEIN COMPLEX GEOMETRIES WITH LINEAR SCORING FUNCTIONS; 1. Introduction; 2. Methods; 2.1. Database of protein complexes and decoys; 2.2. Linear scoring function; 3. Results and Discussion; 3.1. Performance comparison; 4. Conclusions; Acknowledgments; References; CHARACTERIZING COMMON SUBSTRUCTURES OF LIGANDS FOR GPCR PROTEIN SUBFAMILIES; 1. Introduction; 2. Methods; 2.1. Dataset; 2.2. Chemical structure comparison; 2.3. Extracting common substructures; 3. Results; 4. Discussion; Acknowledgments; References
A SYSTEMS BIOLOGY APPROACH: MODELLING OF AQUAPORIN-2 TRAFFICKING 1. Introduction; 1.1. Biological background; 1.2. Existing models; 1.3. Aims; 2. Methods; 2.1. Time course simulation, parameter estimation and time-dependent sensitivity analysis; 2.2. Cell surface biotinylation; 3. Results; 3.1. The model; 3.2. Time course simulation and parameter estimation; 3.3. Model variations and ranking; 3.4. Time-dependent sensitivity analysis; 3.5. Experiment: AQP2 transloeation after dDAVP stimulation; 3.6. Model predictions, analysis, and comparison with recent data; 4. Discussion; Acknowledgements
References COMPARISON OF GENE EXPRESSION PROFILES PRODUCED BY CAGE, ILLUMINA MICRO-ARRAY AND REAL TIME RT-PCR; 1. Introduction; 2. Materials and Methods; 2.1. CAGE data summary; 2.2. Qualitative comparison between CAGE, illumina microarray and qRT-PCR; 2.3. Correlation analysis; 3. Results and Discussions; 3.1. Qualitative analysis; 3.2. Quantitative analysis; 4. Conclusions; Acknowledgements; References; ON THE PERFORMANCE OF METHODS FOR FINDING A SWITCHING MECHANISM IN GENE EXPRESSION; 1. Introduction; 2. Method; 2.1. Notations and preliminaries
2.2. Fast finding three-way gene interaction (FTGI)2.2.1. Logistic regression; 2.2.2. Log-likelihood test; 2.2.3. Mean-Co-variance (MC) test; 2.2.4. Procedure of FTGI; 2.3. The difference of correlation coefficients; 2.3.1. Pearson correlation coefficient; 2.3.2. Spearman correlation coefficient; 2.3.3. Biweight midcorrelation; 3. Experimental Result; 3.1. Data; 3.2. Computation time; 3.3. Top ranked gene combinations; 4. Discussion; Acknowledgements; References; GENE REGULATORY NETWORK CLUSTERING FOR GRAPH LAYOUT BASED ON MICROARRAY GENE EXPRESSION DATA; 1. Introduction; 2. Methods
2.1. Model setting
Record Nr. UNINA-9910464062703321
London, : Imperial College Press, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Pubbl/distr/stampa London, : Imperial College Press, c2010
Descrizione fisica 1 online resource (280 p.)
Disciplina 572.80285
572.86
Altri autori (Persone) AkutsuTatsuya <1962->
Collana Genome informatics series
Soggetto topico Genomics - Data processing
Genomics
Bioinformatics
Biological systems
ISBN 1-283-14348-8
9786613143488
1-84816-658-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; PROGRAM COMMITTEE; KINETIC MODELLING OF DNA REPLICATION INITIATION IN BUDDING YEAST; 1. Introduction; 2. ODE Model of the DNA Replication Initiation; 2.1. Model Construction; 2.2. Deriving Parameters from Experimental Data; 2.3. Fitting Parameters to Experimental Data; 3. Results; 3.1. Simulation Results and Network Properties; 3.2. DNA Replication Mutants; 4. Discussion; 5. Conclusion; Acknowledgments; Appendix A.; Appendix A.1. Detailed Description of the Replisome Activation; Appendix A.1.1. Assembly of the Pre-RC
Appendix A.1.2. Assembly of the Pre-IC and Replisome Activation References; PREDICTING PROTEIN COMPLEX GEOMETRIES WITH LINEAR SCORING FUNCTIONS; 1. Introduction; 2. Methods; 2.1. Database of protein complexes and decoys; 2.2. Linear scoring function; 3. Results and Discussion; 3.1. Performance comparison; 4. Conclusions; Acknowledgments; References; CHARACTERIZING COMMON SUBSTRUCTURES OF LIGANDS FOR GPCR PROTEIN SUBFAMILIES; 1. Introduction; 2. Methods; 2.1. Dataset; 2.2. Chemical structure comparison; 2.3. Extracting common substructures; 3. Results; 4. Discussion; Acknowledgments; References
A SYSTEMS BIOLOGY APPROACH: MODELLING OF AQUAPORIN-2 TRAFFICKING 1. Introduction; 1.1. Biological background; 1.2. Existing models; 1.3. Aims; 2. Methods; 2.1. Time course simulation, parameter estimation and time-dependent sensitivity analysis; 2.2. Cell surface biotinylation; 3. Results; 3.1. The model; 3.2. Time course simulation and parameter estimation; 3.3. Model variations and ranking; 3.4. Time-dependent sensitivity analysis; 3.5. Experiment: AQP2 transloeation after dDAVP stimulation; 3.6. Model predictions, analysis, and comparison with recent data; 4. Discussion; Acknowledgements
References COMPARISON OF GENE EXPRESSION PROFILES PRODUCED BY CAGE, ILLUMINA MICRO-ARRAY AND REAL TIME RT-PCR; 1. Introduction; 2. Materials and Methods; 2.1. CAGE data summary; 2.2. Qualitative comparison between CAGE, illumina microarray and qRT-PCR; 2.3. Correlation analysis; 3. Results and Discussions; 3.1. Qualitative analysis; 3.2. Quantitative analysis; 4. Conclusions; Acknowledgements; References; ON THE PERFORMANCE OF METHODS FOR FINDING A SWITCHING MECHANISM IN GENE EXPRESSION; 1. Introduction; 2. Method; 2.1. Notations and preliminaries
2.2. Fast finding three-way gene interaction (FTGI)2.2.1. Logistic regression; 2.2.2. Log-likelihood test; 2.2.3. Mean-Co-variance (MC) test; 2.2.4. Procedure of FTGI; 2.3. The difference of correlation coefficients; 2.3.1. Pearson correlation coefficient; 2.3.2. Spearman correlation coefficient; 2.3.3. Biweight midcorrelation; 3. Experimental Result; 3.1. Data; 3.2. Computation time; 3.3. Top ranked gene combinations; 4. Discussion; Acknowledgements; References; GENE REGULATORY NETWORK CLUSTERING FOR GRAPH LAYOUT BASED ON MICROARRAY GENE EXPRESSION DATA; 1. Introduction; 2. Methods
2.1. Model setting
Record Nr. UNINA-9910788467003321
London, : Imperial College Press, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Genome informatics 2010 [[electronic resource] ] : the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) : Kyoto University, Japan, 26-28 July 2010 / / editors, Tatsuya Akutsu ... [et al.]
Pubbl/distr/stampa London, : Imperial College Press, c2010
Descrizione fisica 1 online resource (280 p.)
Disciplina 572.80285
572.86
Altri autori (Persone) AkutsuTatsuya <1962->
Collana Genome informatics series
Soggetto topico Genomics - Data processing
Genomics
Bioinformatics
Biological systems
ISBN 1-283-14348-8
9786613143488
1-84816-658-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; PROGRAM COMMITTEE; KINETIC MODELLING OF DNA REPLICATION INITIATION IN BUDDING YEAST; 1. Introduction; 2. ODE Model of the DNA Replication Initiation; 2.1. Model Construction; 2.2. Deriving Parameters from Experimental Data; 2.3. Fitting Parameters to Experimental Data; 3. Results; 3.1. Simulation Results and Network Properties; 3.2. DNA Replication Mutants; 4. Discussion; 5. Conclusion; Acknowledgments; Appendix A.; Appendix A.1. Detailed Description of the Replisome Activation; Appendix A.1.1. Assembly of the Pre-RC
Appendix A.1.2. Assembly of the Pre-IC and Replisome Activation References; PREDICTING PROTEIN COMPLEX GEOMETRIES WITH LINEAR SCORING FUNCTIONS; 1. Introduction; 2. Methods; 2.1. Database of protein complexes and decoys; 2.2. Linear scoring function; 3. Results and Discussion; 3.1. Performance comparison; 4. Conclusions; Acknowledgments; References; CHARACTERIZING COMMON SUBSTRUCTURES OF LIGANDS FOR GPCR PROTEIN SUBFAMILIES; 1. Introduction; 2. Methods; 2.1. Dataset; 2.2. Chemical structure comparison; 2.3. Extracting common substructures; 3. Results; 4. Discussion; Acknowledgments; References
A SYSTEMS BIOLOGY APPROACH: MODELLING OF AQUAPORIN-2 TRAFFICKING 1. Introduction; 1.1. Biological background; 1.2. Existing models; 1.3. Aims; 2. Methods; 2.1. Time course simulation, parameter estimation and time-dependent sensitivity analysis; 2.2. Cell surface biotinylation; 3. Results; 3.1. The model; 3.2. Time course simulation and parameter estimation; 3.3. Model variations and ranking; 3.4. Time-dependent sensitivity analysis; 3.5. Experiment: AQP2 transloeation after dDAVP stimulation; 3.6. Model predictions, analysis, and comparison with recent data; 4. Discussion; Acknowledgements
References COMPARISON OF GENE EXPRESSION PROFILES PRODUCED BY CAGE, ILLUMINA MICRO-ARRAY AND REAL TIME RT-PCR; 1. Introduction; 2. Materials and Methods; 2.1. CAGE data summary; 2.2. Qualitative comparison between CAGE, illumina microarray and qRT-PCR; 2.3. Correlation analysis; 3. Results and Discussions; 3.1. Qualitative analysis; 3.2. Quantitative analysis; 4. Conclusions; Acknowledgements; References; ON THE PERFORMANCE OF METHODS FOR FINDING A SWITCHING MECHANISM IN GENE EXPRESSION; 1. Introduction; 2. Method; 2.1. Notations and preliminaries
2.2. Fast finding three-way gene interaction (FTGI)2.2.1. Logistic regression; 2.2.2. Log-likelihood test; 2.2.3. Mean-Co-variance (MC) test; 2.2.4. Procedure of FTGI; 2.3. The difference of correlation coefficients; 2.3.1. Pearson correlation coefficient; 2.3.2. Spearman correlation coefficient; 2.3.3. Biweight midcorrelation; 3. Experimental Result; 3.1. Data; 3.2. Computation time; 3.3. Top ranked gene combinations; 4. Discussion; Acknowledgements; References; GENE REGULATORY NETWORK CLUSTERING FOR GRAPH LAYOUT BASED ON MICROARRAY GENE EXPRESSION DATA; 1. Introduction; 2. Methods
2.1. Model setting
Record Nr. UNINA-9910810161203321
London, : Imperial College Press, c2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui