Sequence comparison and essential gene identification with new inter-nucleotide distance sequences

Euclidean distance between feature vectors is utilized to compare similarities among whole mitochondrial genomes of 18 eutherian mammals and 23 sequences of 16 S ribosomal RNA, respectively. Derived phylogenetic trees are quite agreement with a few popular studies. Furthermore, using feature vector as input a support vector machine (SVM)-based method are developed to identify essential genes and non-essential genes of 5 bacteria. Higher AUC values (the minimum is 0.7971, the highest reaches 0.8751 and the average is 0.8174) than some well-known results confirm the performance of the method.