Bioinformatics with R: A Comprehensive Guide (Statistics with R Software)
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0.33 kg
0.33 kg
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Amazon
Amazon
Sobre este producto
- Foundations of Bioinformatics: The book begins with an introduction to the fundamental concepts of bioinformatics, covering topics such as biological data types, databases, and sequence analysis. It provides readers with a solid foundation in the field.
- R Programming for Bioinformatics: "Bioinformatics with R" guides readers through the essentials of R programming, even if they have no prior coding experience. It covers basic data structures, data manipulation, and visualization.
- Data Import and Preprocessing: The book delves into data preprocessing techniques specific to bioinformatics, including quality control, data normalization, and handling various data formats such as FASTQ, BAM, and BED.
- Statistical Analysis: Readers learn how to perform statistical analysis on biological data, including differential gene expression analysis, hypothesis testing, and correlation analysis using R packages like DESeq2 and limma.
- Visualization: The book emphasizes the importance of data visualization in bioinformatics and demonstrates how to create informative plots and graphs using R's powerful visualization libraries.
- Advanced Topics: Advanced bioinformatics topics such as machine learning for classification and prediction, network analysis, pathway enrichment analysis, and structural bioinformatics are covered, offering readers a deeper understanding of the field.
- Real-World Examples: The book includes numerous real-world examples and case studies, allowing readers to apply what they've learned to practical bioinformatics problems.
- Hands-On Exercises: Each chapter includes hands-on exercises and practical examples that reinforce learning and encourage readers to practice their skills.
- Companion Materials: The book may include companion materials such as datasets, code snippets, and R scripts, making it easier for readers to follow along and experiment with the examples.
- Comprehensive Resource: "Bioinformatics with R" serves as both a tutorial and reference guide, making it a valuable resource for researchers, students, and professionals in the field of bioinformatics.
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