URL: http://bioinfo.au.tsinghua.edu.cn/nu_oscar/oscar.html
Proper Citation: Nu-OSCAR (RRID:SCR_004513)
Description: Software tool to identify binding sites of known transcription factors on promoter regions. The algorithm is based on one-class support vector machine (One-class SVM). OSCAR uses the sequential composition of known binding sites, and further incorporates the locational preferences of binding events. Nu-OSCAR (Nucleosome-Occupancy Study for Cis-elments Accurate Recognition) is a program that can be used to identify binding sites of known transcription factors, which further incorporates nucleosome occupancy around sites on promoter regions, thereby improving the accuracy of prediction. The derivation of the the algorithm is based on a biophysical view of interactions between protein factors and nucleosome DNA.
Abbreviations: OSCAR
Synonyms: One-class SVM for Cis-elements Accurate Recognition, Nucleosome-Occupancy Study for Cis-elments Accurate Recognition
Resource Type: data analysis service, analysis service resource, production service resource, service resource
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