Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology
bDiscover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data/b h4Key Features/h4 ulliPerform complex bioinformatics analysis using the most important Python libraries and applications /li liImplement next-generation sequencing, metagenomics...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bDiscover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data/b h4Key Features/h4 ulliPerform complex bioinformatics analysis using the most important Python libraries and applications /li liImplement next-generation sequencing, metagenomics, automating analysis, population genetics, and more /li liExplore various statistical and machine learning techniques for bioinformatics data analysis/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliLearn how to process large next-generation sequencing (NGS) datasets /li liWork with genomic dataset using the FASTQ, BAM, and VCF formats /li liLearn to perform sequence comparison and phylogenetic reconstruction /li liPerform complex analysis with protemics data /li liUse Python to interact with Galaxy servers /li liUse High-performance computing techniques with Dask and Spark /li liVisualize protein dataset interactions using Cytoscape /li liUse PCA and Decision Trees, two machine learning techniques, with biological datasets/li/ul h4Who this book is for/h4 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 |
| Beschreibung: | 1 Online-Ressource (360 Seiten) |
| ISBN: | 9781789349986 |
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| 520 | |a bDiscover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data/b h4Key Features/h4 ulliPerform complex bioinformatics analysis using the most important Python libraries and applications /li liImplement next-generation sequencing, metagenomics, automating analysis, population genetics, and more /li liExplore various statistical and machine learning techniques for bioinformatics data analysis/li/ul h4Book Description/h4 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. | ||
| 520 | |a 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. | ||
| 520 | |a h4What you will learn/h4 ulliLearn how to process large next-generation sequencing (NGS) datasets /li liWork with genomic dataset using the FASTQ, BAM, and VCF formats /li liLearn to perform sequence comparison and phylogenetic reconstruction /li liPerform complex analysis with protemics data /li liUse Python to interact with Galaxy servers /li liUse High-performance computing techniques with Dask and Spark /li liVisualize protein dataset interactions using Cytoscape /li liUse PCA and Decision Trees, two machine learning techniques, with biological datasets/li/ul h4Who this book is for/h4 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 | ||
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| author | Antao, Tiago |
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| discipline | Biologie Informatik |
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| edition | 2 |
| format | Electronic eBook |
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| spelling | Antao, Tiago Verfasser aut Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology Antao, Tiago 2 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (360 Seiten) txt rdacontent c rdamedia cr rdacarrier bDiscover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data/b h4Key Features/h4 ulliPerform complex bioinformatics analysis using the most important Python libraries and applications /li liImplement next-generation sequencing, metagenomics, automating analysis, population genetics, and more /li liExplore various statistical and machine learning techniques for bioinformatics data analysis/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliLearn how to process large next-generation sequencing (NGS) datasets /li liWork with genomic dataset using the FASTQ, BAM, and VCF formats /li liLearn to perform sequence comparison and phylogenetic reconstruction /li liPerform complex analysis with protemics data /li liUse Python to interact with Galaxy servers /li liUse High-performance computing techniques with Dask and Spark /li liVisualize protein dataset interactions using Cytoscape /li liUse PCA and Decision Trees, two machine learning techniques, with biological datasets/li/ul h4Who this book is for/h4 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 COMPUTERS / Programming Languages / Python COMPUTERS / Computer Science |
| spellingShingle | Antao, Tiago Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology COMPUTERS / Programming Languages / Python COMPUTERS / Computer Science |
| title | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| title_auth | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| title_exact_search | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| title_exact_search_txtP | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| title_full | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology Antao, Tiago |
| title_fullStr | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology Antao, Tiago |
| title_full_unstemmed | Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology Antao, Tiago |
| title_short | Bioinformatics with Python Cookbook |
| title_sort | bioinformatics with python cookbook learn how to use modern python bioinformatics libraries and applications to do cutting edge research in computational biology |
| title_sub | Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| topic | COMPUTERS / Programming Languages / Python COMPUTERS / Computer Science |
| topic_facet | COMPUTERS / Programming Languages / Python COMPUTERS / Computer Science |
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