H-CDR3-Clustering

Installation

Library creating the R Shiny App

install.packages("shiny")

Libraries for data processing and visualization

install.packages(c("stringr","dplyr","entropy","ggplot2","ggseqlogo","gridExtra","cluster","seqinr","collapsibleTree","data.tree","DiagrammeR"))

Run the Application

• You can initiate the application by pressing the "Run App" button, from either ui.R or server.R script.
• In the Shiny page, you select the directory of data, check the box followed by data name and then press “Run” (You have to select exactly one checkbox).
• You wait until the message "Data available from now on" appear.
• Then you have access to all available choices.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International LICENSE. For more details visit https://creativecommons.org/licenses/by-nc-sa/4.0/.

Citation

Tsarouchis, S. F., Kotouza, M. T., Psomopoulos, F. E., & Mitkas, P. A. (2018, May). A Multi-metric Algorithm for Hierarchical Clustering of Same-Length Protein Sequences. In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 189-199). Springer, Cham. https://doi.org/10.1007/978-3-319-92016-0_18