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Bioinformatics Python Cookbook Use by Antao Tiago (28 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.36.
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems (Paperback or Softback)
Published by Packt Publishing 9/27/2022, 2022
ISBN 10: 1803236426 ISBN 13: 9781803236421
Language: English
Paperback or Softback. Condition: New. Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems 1.36. Book.
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Bioinformatics with Python Cookbook: Use modern Python libraries and applications to solve real-world computational biology problems, 3rd Edition
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Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems
Published by Packt Publishing 2022-09, 2022
ISBN 10: 1803236426 ISBN 13: 9781803236421
Language: English
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Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems
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Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition
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Bioinformatics with Python Cookbook : Learn How to Use Modern Python Bioinformatics Libraries and Applications to Do Cutting-edge Research in Computational Biology
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Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems
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Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition
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Bioinformatics with Python Cookbook - Second Edition: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge rese
Published by Packt Publishing 2018-11, 2018
ISBN 10: 1789344697 ISBN 13: 9781789344691
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Add to basketCondition: New. Über den AutorrnrnTiago Antao is a bioinformatician currently working in the field of genomics. A former computer scientist, Tiago moved into computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University.
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Bioinformatics with Python Cookbook : Learn How to Use Modern Python Bioinformatics Libraries and Applications to Do Cutting-edge Research in Computational Biology
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Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems
Published by Packt Publishing Limited, 2022
ISBN 10: 1803236426 ISBN 13: 9781803236421
Language: English
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition
Published by Packt Publishing Limited, 2018
ISBN 10: 1789344697 ISBN 13: 9781789344691
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover modern, next-generation sequencing libraries from the powerful Python ecosystem to perform cutting-edge research and analyze large amounts of biological data Key Features:Perform complex bioinformatics analysis using the most essential Python libraries and applications Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and much more Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description: Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python. This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for next-generation sequencing, single-cell analysis, genomics, metagenomics, population genetics, phylogenetics, and proteomics with the help of real-world examples. You'll learn how to work with important pipeline systems, such as Galaxy servers and Snakemake, and understand the various modules in Python for functional and asynchronous programming. This book will also help you explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks, including Dask and Spark. In addition to this, you'll explore the application of machine learning algorithms in bioinformatics. By the end of this bioinformatics Python book, you'll be equipped with the knowledge you need to implement the latest programming techniques and frameworks, empowering you to deal with bioinformatics data on every scale. What You Will Learn:Become well-versed with data processing libraries such as NumPy, pandas, arrow, and zarr in the context of bioinformatic analysis Interact with genomic databases Solve real-world problems in the fields of population genetics, phylogenetics, and proteomics Build bioinformatics pipelines using a Galaxy server and Snakemake Work with functools and itertools for functional programming Perform parallel processing with Dask on biological data Explore principal component analysis (PCA) techniques with scikit-learn Who this book is for: This book is for bioinformatics analysts, data scientists, computational biologists, researchers, and Python developers who want to address intermediate-to-advanced biological and bioinformatics problems. Working knowledge of the Python programming language is expected. Basic knowledge of biology will also be helpful.
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data Key Features:Perform complex bioinformatics analysis using the most important Python libraries and applications Implement next-generation sequencing, metagenomics, automating analysis, population genetics, and more Explore various statistical and machine learning techniques for bioinformatics data analysis Book Description: Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. This book covers next-generation sequencing, genomics, metagenomics, population genetics, phylogenetics, and proteomics. You'll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, you'll convert, analyze, and visualize datasets using various Python tools and libraries. This book will help you get a better understanding of working with a Galaxy server, which is the most widely used bioinformatics web-based pipeline system. This updated edition also includes advanced next-generation sequencing filtering techniques. You'll also explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks such as Dask and Spark. By the end of this book, you'll be able to use and implement modern programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data. What you will learn:Learn how to process large next-generation sequencing (NGS) datasets Work with genomic dataset using the FASTQ, BAM, and VCF formats Learn to perform sequence comparison and phylogenetic reconstruction Perform complex analysis with protemics data Use Python to interact with Galaxy servers Use High-performance computing techniques with Dask and Spark Visualize protein dataset interactions using Cytoscape Use PCA and Decision Trees, two machine learning techniques, with biological datasets Who this book is for: ¿This book is for Data data Scientistsscientists, Bioinformatics bioinformatics analysts, researchers, and Python developers who want to address intermediate-to-advanced biological and bioinformatics problems using a recipe-based approach. Working knowledge of the Python programming language is expected.
