RNALocate v2.0: An updated resource for RNA subcellular localization with increased coverage and annotation

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Abstract

Resolving the spatial distribution of the transcriptome at a subcellular level can increase our understanding of biology and diseases. To facilitate studies of biological functions and molecular mechanisms in the transcriptome, we updated RNALocate, a resource for RNA subcellular localization analysis that is freely accessible at http://www.rnalocate.org/or http://www.rna-society.org/rnalocate/. Compared to RNALocate v1.0, the new features in version 2.0 include (i) expansion of the data sources and the coverage of species; (ii) incorporation and integration of RNA-seq datasets containing information about subcellular localization; (iii) addition and reorganization of RNA information (RNA subcellular localization conditions and descriptive figures for method, RNA homology information, RNA interaction and ncRNA disease information) and (iv) three additional prediction tools: DM3Loc, iLoc-lncRNA and iLoc-mRNA. Overall, RNALocate v2.0 provides a comprehensive RNA subcellular localization resource for researchers to deconvolute the highly complex architecture of the cell.

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Cui, T., Dou, Y., Tan, P., Ni, Z., Liu, T., Wang, D. L., … Wang, D. (2022). RNALocate v2.0: An updated resource for RNA subcellular localization with increased coverage and annotation. Nucleic Acids Research, 50(D1), D333–D339. https://doi.org/10.1093/nar/gkab825

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