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Tiago Antao
– author
"Bioinformatics with Python Cookbook" offers a detailed exploration into the modern approaches to computational biology using the Python programming language. Through hands-on recipes, you will master the practical applications of bioinformatics, enabling you to analyze vast biological data effectively using Python libraries and tools. What this Book will help me do Master processing and analyzing genomic datasets in Python to enable accurate bioinformatics discoveries. Understand and apply next-generation sequencing techniques for advanced biological research. Learn to utilize machine learning approaches such as PCA and decision trees for insightful data analysis in biology. Gain proficiency in using high-performance computing frameworks like Dask and Spark for scalable bioinformatics workflows. Develop capabilities to visually represent biological data interactions and insights for presentation and analysis. Author(s) Tiago Antao is a computational scientist specializing in bioinformatics with extensive experience in Python programming applied to biological sciences. He has worked on numerous bioinformatics projects and has a special interest in using Python to bridge biology and data science. Tiago's approachable writing style ensures that both newcomers and experts benefit from his insights. Who is it for? This book is designed for bioinformatics professionals, researchers, and data scientists who are eager to harness the power of Python programming for their biological data analysis needs. If you are familiar with Python and are looking to tackle intermediate to advanced bioinformatics challenges using practical recipes, this book is ideal for you. It is suitable for those seeking to expand their knowledge in computational biology and data visualization techniques. Whether you are working on next-generation sequencing or population genetics, this resource will guide you effectively. |
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Bioinformatics with Python Cookbook
2015-06-25
Tiago Antao
– author
Dive into the intersection of biology and data science with 'Bioinformatics with Python Cookbook.' This book equips you to leverage Python and its ecosystem of libraries to tackle complex challenges in computational biology, covering topics like genomics, phylogenetics, and big data bioinformatics. What this Book will help me do Understand the Python ecosystem specifically tailored for computational biology applications. Analyze and visualize next-generation sequencing data effectively. Explore and simulate population genetics for robust biological research. Utilize the Protein Data Bank to extract critical insights about proteins. Handle big genomics datasets with Python tools for large-scale bioinformatics studies. Author(s) Tiago Antao is an established bioinformatician with expertise in Python programming. With years of practical experience in computational biology, he has tailored this cookbook with detailed and actionable examples. Tiago's mission is to make bioinformatic techniques using Python accessible to researchers of varying skill levels. Who is it for? This book is ideal for researchers, biologists, and data scientists with intermediate Python skills looking to expand their expertise in bioinformatics. It caters to professionals wanting to utilize computational tools for solving biological problems. If you're involved in work or study related to genomics, phylogenetics, or large-scale biology datasets, this guide offers practical solutions. Make the most out of Python in your research journey. |
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