ArticleCell reports methods2021
Spatial correlation statistics enable transcriptome-wide characterization of RNA structure binding.
Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A novel NLP-based method and algorithm to discover RNA-binding protein (RBP) motifs, contexts, binding preferences, and interactions.RNA (New York, N.Y.) · 2026Article
- Defining the Parameters for Sorting of RNA Cargo Into Extracellular Vesicles.Journal of extracellular vesicles · 2025Article
- Article
- RgnTX: Colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity.Computational and structural biotechnology journal · 2023Article
- Toward a Better Understanding of G4 Evolution in the 3 Living Kingdoms.Evolutionary bioinformatics online · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Molecular interactions at identical transcriptomic locations or at proximal but non-overlapping sites can mediate RNA modification and regulation, necessitating tools to uncover these spatial relationships. We present nearBynding, a flexible algorithm and software pipeline that models spatial correlation between transcriptome-wide tracks from diverse data types. nearBynding can process and correlate interval as well as continuous data and incorporate experimentally derived or
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Registered trials
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