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RNA Precursors

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Discovery and annotation of novel microRNAs in the porcine genome by using a semi-supervised transductive learning approach.

Genomics May 1, 2020
Despite the broad variety of available microRNA (miRNA) prediction tools, their application to the discovery and annotation of novel miRNA genes in domestic species is still limited. In this study we designed a comprehensive pipeline (eMIRNA) for miR...
Animals Transcriptome RNA-Seq Machine Learning Algorithms Sequence Homology, Nucleic Acid MicroRNAs Nucleotide Motifs Muscle, Skeletal Genome Genetic Loci RNA Precursors Molecular Sequence Annotation Genomics Liver Sus scrofa
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Deep neural networks for human microRNA precursor detection.

BMC bioinformatics Jan 13, 2020
BACKGROUND: MicroRNAs (miRNAs) play important roles in a variety of biological processes by regulating gene expression at the post-transcriptional level. So, the discovery of new miRNAs has become a popular task in biological research. Since the expe...
Neural Networks, Computer Machine Learning Deep Learning Humans Base Sequence RNA Precursors Protein Structure, Secondary Databases, Genetic MicroRNAs
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Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing.

Cells Nov 26, 2019
Defects in pre-mRNA splicing are frequently a cause of Mendelian disease. Despite the advent of next-generation sequencing, allowing a deeper insight into a patient's variant landscape, the ability to characterize variants causing splicing defects ha...
Molecular Sequence Annotation RNA Precursors RNA Splicing Models, Biological Genetic Variation Humans Machine Learning Genetic Predisposition to Disease Computational Biology Genomics
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Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features.

Scientific reports Feb 6, 2019
The significant role of microRNAs (miRNAs) in various biological processes and diseases has been widely studied and reported in recent years. Several computational methods associated with mature miRNA identification suffer various limitations involvi...
MicroRNAs Base Sequence RNA Precursors Computational Biology Support Vector Machine Humans Algorithms
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Identification of microRNA precursors using reduced and hybrid features.

Molecular bioSystems Jul 25, 2017
MicroRNAs (also called miRNAs) are a group of short non-coding RNA molecules. They play a vital role in the gene expression of transcriptional and post-transcriptional processes. However, abnormality of their expression has been observed in cancer, h...
Humans Datasets as Topic MicroRNAs RNA Precursors Least-Squares Analysis Multifactor Dimensionality Reduction Sequence Analysis, RNA Benchmarking Support Vector Machine
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LBSizeCleav: improved support vector machine (SVM)-based prediction of Dicer cleavage sites using loop/bulge length.

BMC bioinformatics Nov 25, 2016
BACKGROUND: Dicer is necessary for the process of mature microRNA (miRNA) formation because the Dicer enzyme cleaves pre-miRNA correctly to generate miRNA with correct seed regions. Nonetheless, the mechanism underlying the selection of a Dicer cleav...
Nucleic Acid Conformation RNA Precursors Ribonuclease III DEAD-box RNA Helicases MicroRNAs Bayes Theorem Base Sequence Algorithms Support Vector Machine Humans Software
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OP-Triplet-ELM: Identification of real and pseudo microRNA precursors using extreme learning machine with optimal features.

Journal of bioinformatics and computational biology Feb 1, 2016
MicroRNAs (miRNAs) are a set of short (21-24 nt) non-coding RNAs that play significant regulatory roles in the cells. Triplet-SVM-classifier and MiPred (random forest, RF) can identify the real pre-miRNAs from other hairpin sequences with similar ste...
RNA Precursors Computational Biology Machine Learning MicroRNAs Algorithms
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BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.

BioMed research international Jan 1, 2016
MicroRNAs (miRNAs) are a set of short (21-24 nt) noncoding RNAs that play significant regulatory roles in cells. In the past few years, research on miRNA-related problems has become a hot field of bioinformatics because of miRNAs' essential biologica...
MicroRNAs Pattern Recognition, Automated Base Sequence Animals Sequence Analysis, RNA Species Specificity Humans Neural Networks, Computer Software Molecular Sequence Data RNA Precursors Algorithms
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