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Sharon Aviran

Showing results (11-20 of 31) with videos related to

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RNA Biology|October 4, 2021
Accurate detection of RNA stem-loops in structurome data reveals widespread association with protein binding sitesPierce Radecki, Rahul Uppuluri, Kaustubh Deshpande, et al.
RNA (New York, N.Y.)|June 3, 2016
Data-directed RNA secondary structure prediction using probabilistic modelingFei Deng, Mirko Ledda, Sana Vaziri, et al.
Genome Biology|February 23, 2019
dStruct: identifying differentially reactive regions from RNA structurome profiling dataKrishna Choudhary, Yu-Hsuan Lai, Elizabeth J Tran, et al.
Bioinformatics (Oxford, England)|February 8, 2017
SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling dataKrishna Choudhary, Luyao Ruan, Fei Deng, et al.
Plos Computational Biology|August 17, 2010
Computational models of HIV-1 resistance to gene therapy elucidate therapy design principlesSharon Aviran, Priya S Shah, David V Schaffer, et al.
Current Protocols in Chemical Biology|June 22, 2013
SHAPE-Seq: High-Throughput RNA Structure AnalysisStefanie A Mortimer, Cole Trapnell, Sharon Aviran, et al.
Arxiv|March 31, 2025
Differentiable Folding for Nearest Neighbor Model OptimizationRyan K Krueger, Sharon Aviran, David H Mathews, et al.
Bioinformatics (Oxford, England)|August 7, 2016
Metrics for rapid quality control in RNA structure probing experimentsKrishna Choudhary, Nathan P Shih, Fei Deng, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.
RNA (New York, N.Y.)|January 9, 2026
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
RNA Biology|October 4, 2021
Accurate detection of RNA stem-loops in structurome data reveals widespread association with protein binding sitesPierce Radecki, Rahul Uppuluri, Kaustubh Deshpande, et al.
RNA (New York, N.Y.)|June 3, 2016
Data-directed RNA secondary structure prediction using probabilistic modelingFei Deng, Mirko Ledda, Sana Vaziri, et al.
Genome Biology|February 23, 2019
dStruct: identifying differentially reactive regions from RNA structurome profiling dataKrishna Choudhary, Yu-Hsuan Lai, Elizabeth J Tran, et al.
Bioinformatics (Oxford, England)|February 8, 2017
SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling dataKrishna Choudhary, Luyao Ruan, Fei Deng, et al.
Plos Computational Biology|August 17, 2010
Computational models of HIV-1 resistance to gene therapy elucidate therapy design principlesSharon Aviran, Priya S Shah, David V Schaffer, et al.
Current Protocols in Chemical Biology|June 22, 2013
SHAPE-Seq: High-Throughput RNA Structure AnalysisStefanie A Mortimer, Cole Trapnell, Sharon Aviran, et al.
Arxiv|March 31, 2025
Differentiable Folding for Nearest Neighbor Model OptimizationRyan K Krueger, Sharon Aviran, David H Mathews, et al.
Bioinformatics (Oxford, England)|August 7, 2016
Metrics for rapid quality control in RNA structure probing experimentsKrishna Choudhary, Nathan P Shih, Fei Deng, et al.
Biorxiv : the Preprint Server for Biology|November 24, 2025
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.
RNA (New York, N.Y.)|January 9, 2026
Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional MethodsMarcell Szikszai, Ting-Yuan Wang, Ryan Krueger, et al.
Pageof 4