Over the past two decades, statistical machine learning methods have been successfully employed in the structural, functional and interaction profiles research of DNA. The structural and physicochemical descriptors have been intensively applied in the research of DNA structure and functionalities, including
and many more challenging biological problems. Sequence-derived structural and physicochemical descriptors are critically important for these tasks.
Here we present rDNAserWeb, a web server based on our R package rDNAse, dedicated to compute such structural and physicochemical descriptors. Currently, rDNAseWeb offers four types of the commonly used descriptors presented in the rDNAse package.
The rDNAse package offers more proteochemometric modeling descriptors, miscellaneous tools and datasets, and more customized descriptors could be crafted by using the rDNAse package directly.