Essential gene prediction

Predicting bacterial essential genes using only sequence composition information

L. W. Ning, Lin, H., Ding, H., Huang, J., Rao, N., and Guo, F. B., Predicting bacterial essential genes using only sequence composition information, vol. 13, pp. 4564-4572, 2014.

Essential genes are those genes that are needed by organisms at any time and under any conditions. It is very important for us to identify essential genes from bacterial genomes because of their vital role in synthetic biology and biomedical practices. In this paper, we developed a support vector machine (SVM)-based method to predict essential genes of bacterial genomes using only compositional features. These features are all derived from the primary sequences, i.e., nucleotide sequences and protein sequences.

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