The Gorlin-Goltz syndrome (GGS) (the nevoid basal cell carcinoma syndrome—NBCCS) is a rare autosomal dominant syndrome caused due to mutations in the PTCH (patched) gene found on chromosome arm 9q. The syndrome, characterized by increased predisposition to develop basal cell carcinoma and associated multiorgan anomalies, has a high level of penetrance and variable expressiveness. GGS is a multidisciplinary problem, early diagnosis of which allows introduction of secondary prophylaxis and following an appropriate treatment to delay the progress of the syndrome. The following report emphasizes the need for awareness of the diagnostic criteria of this syndrome in cases with no typical skin lesions.

The complexity of biological data has emerged the need of powerful and modern data analysis with computer tools and techniques. In order to satisfy the requirements of various processes in the biological data machine learning can provide different kinds of learning algorithms and this helps the computer can automatically learn by experience and construct a model for future output cases. This paper have discussed about the various biological data need to be processed with bioinformatics and techniques which are used in machine learning for achieving the analysis of biological data for creating model for them, and also some of the applications of machine learning in bioinformatics explained briefly