Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformati

Description: Bioinformatics with Python Cookbook by Tiago Antao Using the hands-on recipes, youll be able to apply your learning to practical research and analysis in computational biology with Python. Youll understand modern, practical applications of bioinformatics using popular programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological dataKey FeaturesPerform complex bioinformatics analysis using the most important Python libraries and applicationsImplement next-generation sequencing, metagenomics, automating analysis, population genetics, and moreExplore various statistical and machine learning techniques for bioinformatics data analysisBook DescriptionBioinformatics 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. Youll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, youll 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. Youll 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, youll be able to use and implement modern programming techniques and frameworks to deal with the ever-increasing deluge of bioinformatics data.What you will learnLearn how to process large next-generation sequencing (NGS) datasetsWork with genomic dataset using the FASTQ, BAM, and VCF formatsLearn to perform sequence comparison and phylogenetic reconstructionPerform complex analysis with protemics dataUse Python to interact with Galaxy serversUse High-performance computing techniques with Dask and SparkVisualize protein dataset interactions using CytoscapeUse PCA and Decision Trees, two machine learning techniques, with biological datasetsWho this book is forThis 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. Author Biography Tiago Antao is a bioinformatician currently working in the field of genomics. He was originally a computer scientist performance but he crossed over to computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto, Portugal, and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine in the UK. He is one of the co-authors of Biopython, a major bioinformatics package written in Python. In his post-doctoral career, he has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequence data at the University of Oxford (UK). He is currently working as a research scientist at the University of Montana. Table of Contents Table of ContentsPython and the Surrounding Software EcologyNext-generation SequencingWorking with GenomesPopulation GeneticsPopulation Genetics SimulationPhylogeneticsUsing the Protein Data BankBioinformatics pipelinesPython for Big Genomics DatasetsOther Topics in BioinformaticsMachine learning in Bioinformatics Long Description 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. Youll learn modern programming techniques to analyze large amounts of biological data. With the help of real-world examples, youll 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. Youll 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, youll 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. Details ISBN1789344697 Author Tiago Antao Pages 360 Publisher Packt Publishing Limited Year 2018 ISBN-10 1789344697 ISBN-13 9781789344691 Publication Date 2018-11-30 Short Title Bioinformatics with Python Cookbook Language English Edition 2nd Format Paperback UK Release Date 2018-11-30 Imprint Packt Publishing Limited Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2018-11-30 NZ Release Date 2018-11-30 Edition Description 2nd Revised edition Subtitle Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition DEWEY 005.133 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:130304495;

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ISBN-13: 9781789344691

Book Title: Bioinformatics with Python Cookbook

Item Height: 93 mm

Item Width: 75 mm

Author: Tiago Antao

Publication Name: Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Format: Paperback

Language: English

Publisher: Packt Publishing Limited

Subject: Medicine, Computer Science

Publication Year: 2018

Type: Textbook

Number of Pages: 360 Pages