Bioinformatics with R: Data-Driven Genomics and Computational Biology in Practice is a comprehensive, hands-on guide for scientists, students, and data professionals who want to harness the power of R in modern biological research. Covering everything from fundamental bioinformatics concepts to advanced multi-omics integration, this book blends theory with practice through real datasets, reproducible workflows, and step-by-step code examples. Readers will learn how to import, process, and visualize genomic, transcriptomic, and proteomic data; perform statistical and machine learning analyses; build reproducible pipelines; and leverage cloud computing for large-scale biological datasets. Each chapter bridges computational techniques with real-world biological insights, empowering readers to tackle research challenges with confidence and precision. Whether you're a biologist seeking computational skills or a data scientist entering life sciences, this book provides the essential toolkit for transforming raw biological data into meaningful discoveries.
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