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Key benefits

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

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.

Who is this book 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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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math_guy51 Jun 19, 2020

I know of no other book covering the Advanced Bioinformatics/Biopython topics found in this book.This is not an introductory book ...

Amazon Verified review

Soup Isarangkoon Jul 10, 2020

This book is very insightful with all the step by step instructions on different projects one can try with Bioinformatics using Python. This book is not too simplistic (some previous knowledge assumed), meanwhile it is not too hard that readers cannot follow through. If one wants to jump into Bioinformatics with Python, this is the book to read!Word of Warning: Some knowledge in Bioinformatics and Python is assumed in the book.

RUser Feb 09, 2021

Dieses Buch ist nicht für "Anfänger" geeignet. Was es nicht leistet: Es erklärt nicht die Sprache Python und nicht die im Buch verwendeten Algorithmen. Es ist ja auch eine Rezeptsammlung!!! Allerdings muss man die Küche vorher selbst bauen oder um es konkret zu sagen: Man sollte sich mit Anaconda auskennen - und das am besten auf Linux oder Ubuntu... Unter Windows wird man vermutlich nur den halben Spaß haben, da einige benötigte Tools dort nicht laufen. Der Autor erklärt das gut. Leider ist der Code insofern veraltet, als nicht mehr zugängliche Libraries verwendet werden. An einigen Stellen hilft dann Auskommentieren des Codes weiter. Der Autor hat auf Anfrage nach Hinweisen zur Korrektur des Codes auch bisher nur geantwortet, dass das Buch 2018 geschrieben sei und zu dem Zeitpunkt der Code noch funktionierte (die Abschaffung der problematischen Libraries wurde auch damals schon länger debattiert). Für ein Buch, zu dem eine Seite mit Druckfehlern existiert (die leer ist) und ein Repository im Internet (enthält aber nur die nicht rund laufenden Codes), ist das schwach. Ich hätte mir zumindest aktualisierten Code gewünscht. Immerhin merkt man dem Buch an, wie gerne der Autor seine Faszination weitergeben würde. Außerdem konnte ich ein Rezept nach einigen kleinen Korrekturen und Anpassungen auch für eine spielerische Analyse von COVID-DNA verwenden. Daher gebe ich gerne die drei Sterne als Bewertung. Aber ich sage es nochmal ausdrücklich: Um eine Sammlung von Rezepten, die man ohne Vorkenntnisse und Mühe nachkochen kann, handelt es sich nicht!

Alejandro Marquez Apr 11, 2020

El libro llegó sin el empaquetado correcto (no emplayado como usualmente venden los libros), doblado de varias hojas y pasta, además las hojas del canto manchadas al parecer con lo que podrían ser dedos. Estamos en cuarentena por covid-19 y debería venir protegido el ejemplar lo mejor posible y contar con el emplayado habitual de los libros que es el que evita sea manoseado directamente.

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

What do you get with eBook?