Open AccessBook
ggplot2: Elegant Graphics for Data Analysis
Reads0
Chats0
TLDR
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics.Abstract:
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkisons Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, its easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot. This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and youll learn everything you need in the book. After reading this book youll be able to produce graphics customized precisely for your problems,and youll find it easy to get graphics out of your head and on to the screen or page.read more
Citations
More filters
Journal ArticleDOI
From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline
Géraldine A. Van der Auwera,Mauricio O. Carneiro,Christopher Hartl,Ryan Poplin,Guillermo del Angel,Ami Levy-Moonshine,Tadeusz Jordan,Khalid Shakir,David Roazen,Joel Thibault,Eric Banks,Kiran V. Garimella,David Altshuler,Stacey Gabriel,Mark A. DePristo +14 more
TL;DR: This unit describes how to use BWA and the Genome Analysis Toolkit to map genome sequencing data to a reference and produce high‐quality variant calls that can be used in downstream analyses.
Journal ArticleDOI
Genome sequence-based species delimitation with confidence intervals and improved distance functions
TL;DR: Despite the high accuracy of GBDP-based DDH prediction, inferences from limited empirical data are always associated with a certain degree of uncertainty, so it is crucial to enrich in-silico DDH replacements with confidence-interval estimation, enabling the user to statistically evaluate the outcomes.
Journal ArticleDOI
Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19.
Daniel Blanco-Melo,Benjamin E. Nilsson-Payant,Wen-Chun Liu,Skyler Uhl,Daisy A. Hoagland,Rasmus Møller,Tristan X. Jordan,Kohei Oishi,Maryline Panis,David H. Sachs,Taia T. Wang,Robert E. Schwartz,Jean K. Lim,Randy A. Albrecht,Benjamin R. tenOever +14 more
TL;DR: It is proposed that reduced innate antiviral defenses coupled with exuberant inflammatory cytokine production are the defining and driving features of COVID-19.
Journal ArticleDOI
Topology of the human and mouse m6A RNA methylomes revealed by m6A-seq
Dan Dominissini,Sharon Moshitch-Moshkovitz,Schraga Schwartz,Schraga Schwartz,Mali Salmon-Divon,Lior Ungar,Sivan Osenberg,Sivan Osenberg,Karen Cesarkas,Jasmine Jacob-Hirsch,Ninette Amariglio,Martin Kupiec,Rotem Sorek,Gideon Rechavi,Gideon Rechavi +14 more
TL;DR: The findings suggest that RNA decoration by m6A has a fundamental role in regulation of gene expression, and a subset of stimulus-dependent, dynamically modulated sites is identified.
Journal ArticleDOI
ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data
TL;DR: An r package, ggtree, which provides programmable visualization and annotation of phylogenetic trees, which can read more tree file formats than other softwares, and support visualization of phylo, multiphylo, phylo4, phyla4d, obkdata and phyloseq tree objects defined in other r packages.