One of the first steps for functional genomic annotation is promoter identification. The promoter region is located near the transcription start sites and regulates transcription initiation of the gene. Promoter of protein-coding genes are gradually being well understood, yet no machine learning based method exist for the promoter of non-coding RNA (ncRNA) genes of human and mouse. Since experimental methods are cost and ineffective, developing efficient and accurate computational tools are necessary.
The ncPro-ML is the first machine learning based method to classify the promoter of ncRNA genes for human and mouse. We expect that our approach can facilitate the discovery of new ncRNA promoters and help elucidate the functional mechanisms.