ArticleNucleic acids research2017
RNALocate: a resource for RNA subcellular localizations.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.
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Who cites it
124 citing papers in PubMed.
- Machine learning approaches for cancer prognosis and diagnosis via non-coding RNA: a comprehensive review.Briefings in bioinformatics · 2026Review
- Loc4Lnc: Accurate prediction of long noncoding RNA subcellular localization via enhanced RNA sequence representation.Quantitative biology (Beijing, China) · 2025Article
- LOCAS: multilabel mRNA localization with supervised contrastive learning.Briefings in bioinformatics · 2025Article
- LncRNA Subcellular Localization Across Diverse Cell Lines: An Exploration Using Deep Learning with InexactNon-coding RNA · 2025Article
- BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization.Interdisciplinary sciences, computational life sciences · 2025Article
- RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model.Bioinformatics (Oxford, England) · 2025Article
- An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy.BMC biology · 2025Article
- Glutathiones' life in multi-cancers: especially their potential micropetides in liver hepatocellular carcinoma.Discover oncology · 2025Article
- MLN4924 Suppresses Acute Myeloid Leukemia Progression by LINC01128-Driven Epigenetic Reactivation of TRIM58.Drug design, development and therapy · 2025Article
- LncSL: A Novel Stacked Ensemble Computing Tool for Subcellular Localization of lncRNA by Amino Acid-Enhanced Features and Two-Stage Automated Selection Strategy.International journal of molecular sciences · 2024Article
- GP-HTNLoc: A graph prototype head-tail network-based model for multi-label subcellular localization prediction of ncRNAs.Computational and structural biotechnology journal · 2024Article
- The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs.Briefings in bioinformatics · 2024Article
- Compartment-specific small non-coding RNA changes and nucleolar defects in human mesial temporal lobe epilepsy.Acta neuropathologica · 2024Article
- Deciphering 3'UTR Mediated Gene Regulation Using Interpretable Deep Representation Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- MSlocPRED: deep transfer learning-based identification of multi-label mRNA subcellular localization.Briefings in bioinformatics · 2024Article
- Evaluation of machine learning models that predict lncRNA subcellular localization.NAR genomics and bioinformatics · 2024Article
- Advancing mRNA subcellular localization prediction with graph neural network and RNA structure.Bioinformatics (Oxford, England) · 2024Article
- Expanding roles of circRNAs in cardiovascular diseases.Non-coding RNA research · 2024Review
- Advances in applications of artificial intelligence algorithms for cancer-related miRNA research.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024Review
- Long Intergenic Non-Coding RNAs of Human Chromosome 18: Focus on Cancers.Biomedicines · 2024Review
64 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence has revealed that RNA subcellular localization is a very important feature for deeply understanding RNA's biological functions after being transported into intra- or extra-cellular regions. RNALocate is a web-accessible database that aims to provide a high-quality RNA subcellular localization resource and facilitate future researches on RNA function or structure. The current version of RNALocate documents more than 37 700 manually curated RNA subcellular localization entries with experimental evidence, involving more than 21 800 RNAs with 42 subcellular localizations in 65 species, mainly including Homo sapiens, Mus musculus and Saccharomyces cerevisiae etc. Besides, RNA homology, sequence and interaction data have also been integrated into RNALocate. Users can access these data through online search, browse, blast and visualization tools. In conclusion, RNALocate will be of help in elucidating the entirety of RNA subcellular localization, and developing new prediction methods. The database is available at http://www.rna-society.org/rnalocate/.
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Registered trials
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