title: Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.
abstract: Noncoding RNAs (ncRNAs) are implicated in various biological processes. Recent findings have demonstrated that the function of ncRNAs correlates with their provenance. Therefore, the recognition of ncRNAs from different organelle genomes will be helpful to understand their molecular functions. However, the weakness of experimental techniques limits the progress toward studying organellar ncRNAs and their functional relevance. As a complement of experiments, computational method provides an important choice to identify ncRNA in different organelles. Thus, a computational model was developed to identify ncRNAs from kinetoplast and mitochondrion organelle genomes. In this model, RNA sequences are encoded by "pseudo dinucleotide composition." It was observed by the jackknife test that the overall success rate achieved by the proposed model was 90.08 %. We hope that the proposed method will be helpful in predicting ncRNA organellar locations.
authors.affiliation: School of Public Health, North China University of Science and Technology, Tangshan, 063000, China.
authors.forename: Pengmian
authors.initials: P
authors.lastname: Feng
authors.affiliation: Department of Immunology, Zunyi Medical College, Zunyi, 563000, China.
authors.forename: Jidong
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Department of Pathophysiology, Sichuan Medical University, Luzhou, 646000, China.
authors.forename: Hua
authors.initials: H
authors.lastname: Tang
authors.affiliation: Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, China. chenweiimu@gmail.com.
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.affiliation: Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics and Center for Information in Biomedicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China. hlin@uestc.edu.cn.
authors.forename: Hao
authors.initials: H
authors.lastname: Lin
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods; D009711:Nucleotides / Q000235:genetics; D022661:RNA, Untranslated / Q000235:genetics*; D060388:Support Vector Machine
chemical_list: D009711:Nucleotides; D022661:RNA, Untranslated
keywords: Noncoding RNA; Organelle; Pseudo nucleotide composition; RNA structural property; Support vector machine