Efnisyfirlit

• Cover
• Foreword
• Preface
• Contributors
• About the Companion Website
• 1 Biological Sequence Databases
  • Introduction
  • Nucleotide Sequence Databases
  • Nucleotide Sequence Flatfiles: A Dissection
  • Protein Sequence Databases
  • Summary
  • Acknowledgments
  • Internet Resources
  • Further Reading
  • References
• 2 Information Retrieval from Biological Databases
  • Introduction
  • Integrated Information Retrieval: The Entrez System
  • Medical Databases
  • Organismal Sequence Databases Beyond NCBI
  • Summary
  • Further Reading
  • References
• 3 Assessing Pairwise Sequence Similarity: BLAST and FASTA
  • Introduction
  • Global Versus Local Sequence Alignments
  • Scoring Matrices
  • BLAST
  • BLAST 2 Sequences
  • MegaBLAST
  • PSI-BLAST
  • BLAT
  • FASTA
  • Summary
  • Further Reading
  • References
• 4 Genome Browsers
  • Introduction
  • The UCSC Genome Browser
  • UCSC Table Browser
  • ENSEMBL Genome Browser
  • Ensembl Biomart
  • JBrowse
  • Summary
  • Further Reading
  • References
• 5 Genome Annotation
  • Introduction
  • Gene Prediction Methods
  • Ab Initio Gene Prediction in Prokaryotic Genomes
  • Ab Initio Gene Prediction in Eukaryotic Genomes
  • How Well Do Gene Predictors Work?
  • Assessing Prokaryotic Gene Predictors
  • Assessing Eukaryotic Gene Predictors
  • Evidence Generation for Genome Annotation
  • Gene Annotation and Evidence Generation using Comparative Gene Prediction
  • Genome Annotation Pipelines
  • Summary
  • Acknowledgments
  • Internet Resources
  • Further Reading
  • References
• 6 Predictive Methods Using RNA Sequences
  • Introduction
  • Overview of RNA Secondary Structure Prediction Using Thermodynamics
  • Dynamic Programming
  • Accuracy of RNA Secondary Structure Prediction
  • Predicting the Secondary Structure Common to Multiple RNA Sequences
  • Practical Introduction to Single-Sequence Methods
  • Practical Introduction to Multiple Sequence Methods
  • Other Computational Methods to Study RNA Structure
  • Comparison of Methods
  • Predicting RNA Tertiary Structure
  • Summary
  • Further Reading
  • References
• 7 Predictive Methods Using Protein Sequences
  • Introduction
  • One-Dimensional Prediction of Protein Structure
  • Predicting Protein Function
  • Summary
  • Further Reading
  • References
• 8 Multiple Sequence Alignments
  • Introduction
  • Measuring Multiple Alignment Quality
  • Making an Alignment: Practical Issues
  • Commonly Used Alignment Packages
  • Viewing a Multiple Alignment
  • Summary
  • References
• 9 Molecular Evolution and Phylogenetic Analysis
  • Introduction
  • Early Classification Schemes
  • Sequences As Molecular Clocks
  • Background Terminology and the Basics
  • How to Construct a Tree
  • Marker-Based Evolution Studies
  • Phylogenetic Analysis and Data Integration
  • Future Challenges
  • References
• 10 Expression Analysis
  • Introduction
  • Step 0: Choose an Expression Analysis Technology
  • Step 1: Design the Experiment
  • Step 2: Collect and Manage the Data – and Metadata
  • Step 3: Data Pre-Processing
  • Step 4: Quality Control
  • Step 5: Normalization and Batch Effects
  • Step 6: Exploratory Data Analysis
  • Step 7: Differential Expression Analysis
  • Step 8: Exploring Mechanisms Through Functional Enrichment Analysis
  • Step 9: Developing a Classifier
  • Single-Cell Sequencing
  • Summary
  • Further Reading
  • References
• 11 Proteomics and Protein Identification by Mass Spectrometry
  • Introduction
  • Mass Spectrometry
  • Tandem Mass Spectrometry for Peptide Identification
  • Sample Preparation
  • Bioinformatics Analysis for MS-based Proteomics
  • Proteomics Strategies
  • Peptide Mass Fingerprinting
  • PMF on the Web
  • Proteomics and Tandem MS
  • PSM Software
  • PSM on the Web
  • Reporting Standards
  • Proteomics Data Repositories
  • Protein/Proteomics Databases
  • Selected Applications of Proteomics
  • Summary
  • Acknowledgments
  • Internet Resources
  • Further Reading
  • References
• 12 Protein Structure Prediction and Analysis
  • Introduction to Protein Structures
  • How Protein Structures are Determined
  • How Protein Structures are Described
  • Protein Structure Databases
  • Visualizing Proteins
  • Protein Structure Prediction
  • Protein Structure Evaluation
  • Protein Structure Comparison
  • Summary
  • Further Reading
  • References
• 13 Biological Networks and Pathways
  • Introduction
  • Pathway and Molecular Interaction Mapping: Experiments and Predictions
  • Pathway and Molecular Interaction Databases: An Overview
  • Pathway Databases
  • Molecular Interaction Databases
  • Functional Interaction Databases
  • Strategies for Navigating Pathway and Interaction Databases
  • Standard Data Formats for Pathways and Molecular Interactions
  • Pathway Visualization and Analysis
  • Network Visualization and Analysis
  • Summary
  • Acknowledgments
  • Internet Resources
  • Further Reading
  • References
• 14 Metabolomics
  • Introduction
  • Data Formats
  • Databases
  • Bioinformatics for Metabolite Identification
  • Multivariate Statistics
  • Bioinformatics for Metabolite Interpretation
  • Summary
  • Further Reading
  • References
• 15 Population Genetics
  • Introduction
  • Evolutionary Processes and Genetic Variation
  • Allele Frequencies and Population Variation
  • Display Methods
  • Demographic History Inference
  • Admixture and Ancestry Estimation
  • Detection of Natural Selection
  • Other Applications
  • Summary
  • References
• 16 Metagenomics and Microbial Community Analysis
  • Introduction
  • Why Study the Microbiome?
  • The Origins of Microbiome Analysis
  • Metagenomic Workflow
  • General Considerations in Marker-Gene and Metagenomic Data Analysis
  • Marker Genes
  • Metagenomic Data Analysis
  • Other Techniques to Characterize the Microbiome
  • Summary
  • Further Reading
  • References
• 17 Translational Bioinformatics
  • Introduction
  • Databases Describing the Genetics of Human Health
  • Prediction and Characterization of Impactful Genetic Variants from Sequence
  • Computing with Patient Phenotype Using Data in Electronic Health Records
  • Informatics and Precision Medicine
  • Ethical, Legal, and Social Implications of Translational Medicine
  • Summary
  • References
• 18 Statistical Methods for Biologists
  • Introduction
  • Descriptive Representations of Data
  • Statistical Inference and Statistical Hypothesis Testing
  • Summary
  • Acknowledgments
  • Internet Resources
  • Further Reading
  • References
• Appendices
  • 1.1 Example of a Flatfile Header in ENA Format
  • 1.2 Example of a Flatfile Header in DDBJ/GenBank Format
  • 1.3 Example of a Feature Table in ENA Format
  • 1.4 Example of a Feature Table in GenBank/DDBJ Format
  • 6.1 Dynamic Programming
  • Reference
• Glossary
• Index
• End User License Agreement

UM RAFBÆKUR Á HEIMKAUP.IS

Bókahillan þín er þitt svæði og þar eru bækurnar þínar geymdar. Þú kemst í bókahilluna þína hvar og hvenær sem er í tölvu eða snjalltæki. Einfalt og þægilegt!

Rafbók til eignar
Rafbók til eignar þarf að hlaða niður á þau tæki sem þú vilt nota innan eins árs frá því bókin er keypt.

Þú kemst í bækurnar hvar sem er
Þú getur nálgast allar raf(skóla)bækurnar þínar á einu augabragði, hvar og hvenær sem er í bókahillunni þinni. Engin taska, enginn kyndill og ekkert vesen (hvað þá yfirvigt).

Auðvelt að fletta og leita
Þú getur flakkað milli síðna og kafla eins og þér hentar best og farið beint í ákveðna kafla úr efnisyfirlitinu. Í leitinni finnur þú orð, kafla eða síður í einum smelli.

Glósur og yfirstrikanir
Þú getur auðkennt textabrot með mismunandi litum og skrifað glósur að vild í rafbókina. Þú getur jafnvel séð glósur og yfirstrikanir hjá bekkjarsystkinum og kennara ef þeir leyfa það. Allt á einum stað.

Hvað viltu sjá? / Þú ræður hvernig síðan lítur út
Þú lagar síðuna að þínum þörfum. Stækkaðu eða minnkaðu myndir og texta með multi-level zoom til að sjá síðuna eins og þér hentar best í þínu námi.



Fleiri góðir kostir
- Þú getur prentað síður úr bókinni (innan þeirra marka sem útgefandinn setur)
- Möguleiki á tengingu við annað stafrænt og gagnvirkt efni, svo sem myndbönd eða spurningar úr efninu
- Auðvelt að afrita og líma efni/texta fyrir t.d. heimaverkefni eða ritgerðir
- Styður tækni sem hjálpar nemendum með sjón- eða heyrnarskerðingu