Hands-On Bioinformatics with Python: A practical guide to extract useful insights from a large collection of biological data (英語)
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Implementing next-generation data sequencing for biological research and genomics About This Book * Hands-on coverage to carry out efficient Bioinformatics data analysis * Analyze large amounts of biological data using modern libraries from Python ecosystem * Combine theory and practical techniques to solve active research problems in bioinformatics and genomics. Who This Book Is For This book is for data scientists, bioinformatics analysts and researchers, Python developers, and anyone who is interested in the bioinformatics domain. A perfect blend of theory and practical examples to analyze large amounts of biological data from scratch. Strong working knowledge of Python scripting language and a basic understanding of biological science is recommended. What You Will Learn * Learn gene control systems and how a cell works * Explore DNA sequencing technologies applied in OMICS analysis * Discover various Python libraries available to read sequence and alignment files * Understand the steps involved in RNA-seq and ChIP-seq data processing * Get a better understanding of performing SNP prioritization with ML methods * Learn how to process and visualize genome annotation data * Create and manage complex workflows with parallelization In Detail Bioinformatics is an active research field that uses a range of computations to extract key information from the biological data. With this guide, you will have the required expertise to collect, store, retrieve, manipulate and model data for analysis, visualization or prediction using modern libraries from Python ecosystem. This book will start off with the introduction to bioinformatics domain to understand the key concepts and terminologies. With this book, you will discover DNA sequencing technologies applied in OMICS analysis. You will understand the steps involved in RNA-seq, ChIP-seq and metagenomics data processing. You will perform simple-to-advanced computations to extract valuable information from biological data. Through real-world examples, this book will show you to collect, clean and visualize data to perform advanced data analysis and predictions. You will learn how to process pathway and ontology information. You will get a better understanding of the workflows in the bioinformatics domain to help you with your research at work or projects. You will implement machine learning techniques to perform efficient bioinformatic analysis on a range of data. By the end of this book, you will understand how bioinformatics is revolutionizing high-performance computing, big data, and machine learning.
Juan Caballero is a computational biologist exploring genomes. He has experience in mining biological information (genomes, transcriptomes) in plants, yeast, bacteria, mouse and human data. Since 2008, he works in the Institute for Systems Biology.