Bioinformatics: Algorithms, Coding, Data Science and Biostatistics 9781839386886

Table of contents :
Introduction
Chapter 1: Introduction to Bioinformatics
Chapter 2: Fundamentals of Molecular Biology
Chapter 3: Basics of Sequence Analysis
Chapter 4: Understanding Genetic Variation
Chapter 5: Introduction to Bioinformatics Algorithms
Chapter 6: Pairwise Sequence Alignment Techniques
Chapter 7: Multiple Sequence Alignment Methods
Chapter 8: Genome Assembly and Annotation
Chapter 9: Phylogenetic Analysis
Chapter 10: Applications of Bioinformatics in Biomedical Researc
Chapter 1: Introduction to Programming for Bioinformatics
Chapter 2: Essential Tools and Languages for Bioinformatics Coding
Chapter 3: Scripting Basics: Automating Tasks in Bioinformatics
Chapter 4: Data Manipulation and Parsing Techniques
Chapter 5: File Handling and Input/Output Operations
Chapter 6: Intermediate Coding Concepts in Bioinformatics
Chapter 7: Object-Oriented Programming for Bioinformatics
Chapter 8: Advanced Scripting Techniques and Best Practices
Chapter 9: High-Performance Computing and Parallel Processing
Chapter 10: Developing Bioinformatics Applications and Tools
Chapter 1: Introduction to Data Science in Bioinformatics
Chapter 2: Exploratory Data Analysis Techniques
Chapter 3: Data Visualization in Bioinformatics
Chapter 4: Statistical Methods for Data Analysis
Chapter 5: Machine Learning Fundamentals in Bioinformatics
Chapter 6: Predictive Modeling and Classification
Chapter 7: Clustering and Dimensionality Reduction Techniques
Chapter 8: Deep Learning Applications in Bioinformatics
Chapter 9: Network Analysis and Graph Theory in Bioinformatics
Chapter 10: Big Data Management and Tools for Bioinformatics
Chapter 1: Introduction to Biostatistics in Bioinformatics
Chapter 2: Probability and Statistical Distributions
Chapter 3: Hypothesis Testing and Statistical Inference
Chapter 4: Parametric and Nonparametric Tests in Bioinformatics
Chapter 5: Regression Analysis in Bioinformatics
Chapter 6: Survival Analysis and Time-to-Event Data
Chapter 7: Experimental Design and Statistical Power
Chapter 8: Bayesian Methods in Bioinformatics
Chapter 9: Advanced Topics in Biostatistics: Meta-analysis and Multilevel Modeling
Chapter 10: Practical Applications and Case Studies in Bioinformatics Biostatistics
Conclusion

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