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Example data
This is a dataset representing brain cells (each point is a cell) in a little marine worm called Platynereis dumerilii :
This is the result of a clustering to put the brain cells together based on their gene expression patterns (DNA expression) at the first and last step of the algorithm :
This dataset contains the 3D position of each carbon atom of the main carbon chain in a protein called "Bacterial pentameric ligand-gated ion channel" (ref PDB: 3EAM). Because proteins are sequential, we set the "chain" parameter of this dataset to true. Download JSON dataset file
As the CSV format does allow sequential visualisation we encourage you to use the JSON format
This information layer file contains the secondary structure of each of the atoms in the main carbon chain. (alpha-helix, beta-sheet or other) Download JSON information layer fle
bioWeb3D can be used for statistical analysis for instance it is very easy to visualize results of principal component analysis when 3 components are needed.
The R code to obtain this file based on R example data is :
pc <- prcomp(~ . - Species, data = iris, scale = TRUE)
write.table(pc$x[, 1:3], "PCA.csv",col.names=FALSE,row.names=FALSE,quote=FALSE)
The R code to obtain this file based on R example data is :
irisColor = rep(c(1,2,3), each = 50))
write.table(irisColor, "PCA_info.csv",col.names=FALSE,row.names=FALSE,quote=FALSE)