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Jean-Baptiste edited this page May 31, 2020 · 13 revisions

Platynereis's brain

dataset file

This is a dataset representing brain cells (each point is a cell) in a little marine worm called Platynereis dumerilii :

information layer file

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 :

Ion channel protein

dataset file

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

information layer file

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

Principal component analysis results visualization

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.

dataset file

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)

information layer file

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)
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