Description: 'The Proton Game' is a console-based data-crunching game for younger and older data scientists.
The knowledge of dplyr is not required but may be very helpful.
This game is linked with the ,,Pietraszko's Cave'' story available at http://biecek.pl/BetaBit/Warsaw.
You will find more about the Beta and Bit series at http://biecek.pl/BetaBit.

Title: Interactive Dendrograms for Visualizing Hierarchical Clusters
Authors@R: c(person("Andee", "Kaplan", email = "andee.kaplan@colostate.edu", role = c("aut", "cre")),
person("Mike", "Bostock", role = "cph", comment = "Author of included d3.js library"),
person("Brian", "Reavis", role = "cph", comment = "Author of included selectize.js library"))
Description: Shiny app to interactively visualize hierarchical clustering with prototypes.
For details on hierarchical clustering with prototypes, see
Bien and Tibshirani (2011) <doi:10.1198/jasa.2011.tm10183>. This package currently launches the application.
Imports: DT, dynamicTreeCut, methods, protoclust, rare, shiny,
Mike Bostock [cph] (Author of included d3.js library),
Brian Reavis [cph] (Author of included selectize.js library)

Title: Inference on Prototypes from Clusters of Features
Description: Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.

Title: Protein Sequence Feature Extraction with R
Description: The protr package aims for protein sequence feature
extraction, which could be easily applied in Bioinformatics and
Chemogenomics research.  The descriptors listed in this package
include Amino Acid Composition (Amino Acid
Quasi-sequence Order (Sequence Order Coupling
Number/Quasi-sequence Order Descriptors), and Pseudo Amino Acid
Composition (Pseudo Amino Acid Composition/Amphiphilic Pseudo
Amino Acid Composition). The package is developed by
Computational Biology and Drug Design Group, Central South
Author: Xiao Nan <road2stat@gmail.com>, Dongsheng Cao
Collate: 'protr-package.R' 'readFASTA.R' 'getUniProt.R' 'protseg.R'