High-throughput Rna-binding Profiling
High-Throughput RNA-Binding Profiling is a molecular biology methodology that enables the genome-wide, systematic identification and quantification of RNA-binding protein interactions with target RNAs at unprecedented scale and resolution through automated, parallelized experimental and computational techniques.
39
Publications
4K
Citations
266
Authors
88
Institutions
Publications per year
2017–2026
28
Parents
39
Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures
Lei Sun, Kui Xu, Wenze Huang et al. · Cell Research · 2021 · 139 citations · Full text
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University of California San Diego, United States
5 publications · 2K citations
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1–5 of 266
88
University of California San Diego
San Diego, United States
5 h-index
70 publications
21.5K citations
Center for Life Sciences
Beijing, China
4 h-index
20 publications
1.6K citations
Stanford University
Stanford, United States
3 h-index
18 publications
2.8K citations

Institute for Systems Biology
Seattle, United States
3 h-index
7 publications
377 citations
UConn Health
Farmington, United States
3 h-index
3 publications
293 citations
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
1.7K citations
Tsinghua University
Beijing, China
3 h-index
19 publications
1.5K citations

Howard Hughes Medical Institute
Chevy Chase, United States
3 h-index
21 publications
1.3K citations
1–8 of 88
Book series · 4 publications · 274 citations
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Repository · 2 publications · 38 citations
3
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3 publications · 157 citations
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2 publications · 59 citations
2
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2 publications · 1.6K citations
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