It's a collection of scientific plots and we can say graphic presentations.
It's a circlize plot for the relationship between species and sepal-length of iris data. circlize package is awesome. I clustered sepal-length data into 5 clusters.
The power of SVM which has been done with R.
Gene and protein mapping as a beautiful way to find and understand biological sequences. Another power of R.
The power of bioinformatics: molecular dynamics simulation see how much this technique is good to find real data. It is a comparison between B-factor and MD RMSF.
The beauty of PCA with R. It's for Boston data.
A volcano plot for golub data with a simple t.test statistical test analysis.
Our recent work is a comparative analysis of Leishmania major nucleoside hydrolases in sequence and structure level. We tried to answer such questions as, what are the differences of the SP types of these enzymes that make them able to have different efficiencies for the same substrates?
History of Bioinformatics
