BOL

www.bioconductor.org - Sushi: An R/Bioconductor package for visualizing genomic data

R Graphical Cookbook by Winston Chang A very nice book by Winston Chang for R ethusiast. The R code presented in these pages is the R code actually used to produce the Figures in the book. There will be differences compared to the code chunks shown...

gehlenborglab.shinyapps.io - UpSetR generates static UpSet plots. The UpSet technique visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such...

cran.r-project.org - It may take a little while to load all charts. Please be patient. All charts require an Internet connection. These examples are taken from the googleVis demo. You can execute the demo via library(googleVis) demo(googleVis) For more details...

Microsoft announced that Power BI custom visuals will soon be available as charts with Excel.

The purpose of this book is to give an introduction into statistics in order to solve some problems of bioinformatics. Statistics provides procedures to explore and visualize data as well as to test biological hypotheses. The book intends to be...

gattaca.imppc.org - Regioner is an R package for the management and comparison of genomic regions. It offers a set of function for basic manipulation of region sets extending the functionality of GenomicRanges and a powerful and customizable permutation test framework....

https://www.rplumber.io/ - plumber allows you to create a REST API by merely decorating your existing R source code with special comments. Take a look at an example. # plumber.R #* Echo back the input #* @param msg The message to echo #* @get /echo function(msg=""){...

github.com - ggradar allows you to build radar charts with ggplot2. This package is based on Paul Williamson’s code, with new aesthetics and compatibility with ggplot2 2.0. It was inspired by d3radaR, an htmlwidget built...

http://efs.heiderlab.de/ - The software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in...