ArticleFrontiers in genetics2012
Computational methods for ab initio detection of microRNAs.
Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Hepatitis B Virus and microRNAs: A Bioinformatics Approach.International journal of molecular sciences · 2023Review
- Article
- Article
- Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19.Machine learning with applications · 2021Article
- Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA.Frontiers in public health · 2021Article
- Genome-wide computational prediction of miRNAs in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) revealed target genes involved in pulmonary vasculature and antiviral innate immunity.Molecular biology research communications · 2020Article
- Computational prediction of miRNAs in Nipah virus genome reveals possible interaction with human genes involved in encephalitis.Molecular biology research communications · 2018Article
- MicroRNA categorization using sequence motifs and k-mers.BMC bioinformatics · 2017Article
- Article
- Computational identification and characterization of novel microRNA in the mammary gland of dairy goat (Capra hircus).Journal of genetics · 2016Article
- The impact of feature selection on one and two-class classification performance for plant microRNAs.PeerJ · 2016Article
- Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.BMC systems biology · 2015Review
- miRLocator: Machine Learning-Based Prediction of Mature MicroRNAs within Plant Pre-miRNA Sequences.PloS one · 2015Article
- MicroRNAs: New Biomarkers for Diagnosis, Prognosis, Therapy Prediction and Therapeutic Tools for Breast Cancer.Theranostics · 2015Review
- Computational prediction and experimental validation of microRNAs in the brown alga Ectocarpus siliculosus.Nucleic acids research · 2014Article
- A Review of Computational Tools in microRNA Discovery.Frontiers in genetics · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs are small RNA sequences of 18-24 nucleotides in length, which serve as templates to drive post-transcriptional gene silencing. The canonical microRNA pathway starts with transcription from DNA and is followed by processing via the microprocessor complex, yielding a hairpin structure. Which is then exported into the cytosol where it is processed by Dicer and then incorporated into the RNA-induced silencing complex. All of these biogenesis steps add to the overall specificity of miRNA production and effect. Unfortunately, their modes of action are just beginning to be elucidated and therefore computational prediction algorithms cannot model the process but are usually forced to employ machine learning approaches. This work focuses on ab initio prediction methods throughout; and therefore homology-based miRNA detection methods are not discussed. Current ab initio prediction algorithms, their ties to data mining, and their prediction accuracy are detailed.
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