{"product_id":"r-bioinformatics-cookbook-paperback","title":"R Bioinformatics Cookbook: Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDan MacLean\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOver 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eApply modern R packages to handle biological data using real-world examples\u003c\/li\u003e\n\u003cli\u003eRepresent biological data with advanced visualizations suitable for research and publications\u003c\/li\u003e\n\u003cli\u003eHandle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analyses\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eHandling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you'll explore all this and more, tackling common and not-so-common challenges in the bioinformatics domain using real-world examples.\u003c\/p\u003e\u003cp\u003eThis book will use a recipe-based approach to show you how to perform practical research and analysis in computational biology with R. You will learn how to effectively analyze your data with the latest tools in Bioconductor, ggplot, and tidyverse. The book will guide you through the essential tools in Bioconductor to help you understand and carry out protocols in RNAseq, phylogenetics, genomics, and sequence analysis. As you progress, you will get up to speed with how machine learning techniques can be used in the bioinformatics domain. You will gradually develop key computational skills such as creating reusable workflows in R Markdown and packages for code reuse.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll have gained a solid understanding of the most important and widely used techniques in bioinformatic analysis and the tools you need to work with real biological data.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEmploy Bioconductor to determine differential expressions in RNAseq data\u003c\/li\u003e\n\u003cli\u003eRun SAMtools and develop pipelines to find single nucleotide polymorphisms (SNPs) and Indels\u003c\/li\u003e\n\u003cli\u003eUse ggplot to create and annotate a range of visualizations\u003c\/li\u003e\n\u003cli\u003eQuery external databases with Ensembl to find functional genomics information\u003c\/li\u003e\n\u003cli\u003eExecute large-scale multiple sequence alignment with DECIPHER to perform comparative genomics\u003c\/li\u003e\n\u003cli\u003eUse d3.js and Plotly to create dynamic and interactive web graphics\u003c\/li\u003e\n\u003cli\u003eUse k-nearest neighbors, support vector machines and random forests to find groups and classify data\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for bioinformaticians, data analysts, researchers, and R developers who want to address intermediate-to-advanced biological and bioinformatics problems by learning through a recipe-based approach. Working knowledge of R programming language and basic knowledge of bioinformatics are prerequisites.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 316\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.66 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 11, 2019\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42104629723271,"sku":"9781789950694","price":90.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/0dc2193ecff5b89d4633782eab21d198.webp?v=1732426372","url":"https:\/\/booksby.splitshops.com\/products\/r-bioinformatics-cookbook-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}