Bioinformatics with Python Cookbook - Second Edition

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 applicationsImplement next-generation sequencing metagenomics automating analysis population genetics and moreExplore various statistical and machine learning techniques for bioinformatics data analysisbr>/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) 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 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./