ArticleCurrent genomics2019
Computational Identification of piRNAs Using Features Based on RNA Sequence, Structure, Thermodynamic and Physicochemical Properties.
Article in Current genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Advanced artificial intelligence in piRNA and PIWI-like protein research: A systematic review of recurrent neural networks, long short-term memory, and emerging computational techniquesBiomedica : revista del Instituto Nacional de Salud · 2025Pooled it
- Databases and computational methods for the identification of piRNA-related molecules: A survey.Computational and structural biotechnology journal · 2024Review
- Harnessing male germline epigenomics for the genetic improvement in cattle.Journal of animal science and biotechnology · 2023Review
- Missing Causality and Heritability of Autoimmune Hepatitis.Digestive diseases and sciences · 2023Article
- The long and short: Non-coding RNAs in the mammalian inner ear.Hearing research · 2023Review
- Circ-LocNet: A Computational Framework for Circular RNA Sub-Cellular Localization Prediction.International journal of molecular sciences · 2022Article
- Evaluation of exosomal non-coding RNAs in cancer using high-throughput sequencing.Journal of translational medicine · 2022Review
- Respiratory syncytial virus infection changes the piwi-interacting RNA content of airway epithelial cells.Frontiers in molecular biosciences · 2022Article
- piRNAQuest V.2: an updated resource for searching through the piRNAome of multiple species.RNA biology · 2022Article
- A Review of Discovery Profiling of PIWI-Interacting RNAs and Their Diverse Functions in Metazoans.International journal of molecular sciences · 2021Review
- Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements.Biology · 2021Review
- Advances in Computational Methodologies for Classification and Sub-Cellular Locality Prediction of Non-Coding RNAs.International journal of molecular sciences · 2021Review
- Systems Genomics in the Age of Next Generation Sequencing (Part I).Current genomics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
rationalePIWI-interacting RNAs (piRNAs) are a recently-discovered class of small non-coding RNAs (ncRNAs) with a length of 21-35 nucleotides. They play a role in gene expression regulation, transposon silencing, and viral infection inhibition. Once considered as "dark matter" of ncRNAs, piRNAs emerged as important players in multiple cellular functions in different organisms. However, our knowledge of piRNAs is still very limited as many piRNAs have not been yet identified due to lack of robust computational predictive tools.
methodsTo identify novel piRNAs, we developed
resultsDuring the ten-fold cross-validation approach (10-CV),
conclusionWe obtained the highest performance in accurately predicting piRNAs as compared to the current state-of-the-art piRNA predictors. In conclusion,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.