Sharon Aviran

Sharon Aviran

Position Title
Assistant Professor

Unit
Biomedical Engineering, College of Engineering
Genome Center

Genome and Biomedical Sciences Facility, 2319
Bio

Research Interests

Computational Genomics, RNA Structure

 

My group develops computational methods for analysis of new and emerging genome-wide sequencing-based assays that measure structure and abundance of RNA transcripts. We also develop methods to integrate these experimental data into structure prediction algorithms to improve their accuracy and to better predict RNA-protein interactions. 

Grad Group Affiliations

  • Applied Mathematics
  • Biomedical Engineering
  • Computer Science
  • Designated Emphasis in Biotechnology
  • Integrative Genetics and Genomics

Specialties / Focus

  • Computational Biology

Labs

  • Computational RNA Genomics http://www.bme.ucdavis.edu/aviranlab/group/

Honors and Awards

  • NHGRI Pathway to Independence Award (K99/R00)

    Professional Societies

    • RNA Society

    Degrees

    • 2006 PhD Electrical Engineering UCSD

    Publications

    M. Ledda and S. Aviran, patteRNA: transcriptome-wide search for functional RNA elements via structural data signatures, Genome Biology, in press, 2018 

    K. Watters, K. Choudhary, S. Aviran, J.B. Lucks, K.L. Perry, and J.R. Thompson, Probing of RNA structures in a positive sense RNA virus reveals selection pressures for structural elementsNucleic Acids Research, gkx1273, 2017

    B. Li, A. Tambe, S. Aviran, and L. Pachter, PROBer provides a general toolkit for analyzing sequencing-based toeprinting assays, Cell Systems, 4, 568-574.e72017

    K. Choudhary*, F. Deng*, and S. Aviran, Comparative and integrative analysis of RNA structural profiling data: current practices and emerging questions, Quantitative Biology, 5, 3-24, 2017

    K. Choudhary, L. Ruan, F. Deng, N.P. Shih, and S. Aviran, SEQualyzer: Interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data, Bioinformatics, 33, 441-443, 2017

    M. Norris, C.K. Kwok, J. Cheema, M. Hartley, R.J. Morris, S. Aviran, and Y. Ding, FoldAtlas: a repository for genome-wide RNA structure probing data, Bioinformatics, 33, 306-308, 2017

    K. Choudhary, N.P. Shih, F. Deng, M. Ledda, B. Li, and S. Aviran, Metrics for rapid quality control in RNA structure probing experiments, Bioinformatics, 32, 3575-3583, 2016

    F. Deng*, M. Ledda*, S. Vaziri, and S. Aviran, Data-directed RNA secondary structure prediction using probabilistic modeling, RNA, 22, 1109-1119, 2016

    S. Aviran and L. Pachter, Rational experiment design for sequencing-based RNA structure mapping, RNA, 20, 1864-1877, 2014

    S.A. Mortimer, C. Trapnell*, S. Aviran*, L. Pachter, and J.B. Lucks, SHAPE-Seq: high throughput RNA structure analysis, Current Protocols in Chemical Biology, 4, 275-299, 2012

    S. Aviran, J.B. Lucks, and L. Pachter, RNA structure characterization from chemical mapping experiments, Proceedings of the 49th Allerton Conference on Communication, Control, and Computing, 1743-1750, 2011

    S. Aviran, C. Trapnell, J.B. Lucks, S.A. Mortimer, S. Luo, G.P. Schroth, J.A. Doudna, A.P. Arkin, and L. Pachter, Modeling and automation of sequencing-based characterization of RNA structure, Proceedings of the National Academy of Sciences (PNAS), 108, 11069-11074, 2011

    J.B. Lucks, S.A. Mortimer, C. Trapnell, S. Luo, S. Aviran, G.P. Schroth, L. Pachter, J.A. Doudna, and A.P. Arkin, Multiplexed RNA structure characterization with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq), Proceedings of the National Academy of Sciences (PNAS), 108, 11063-11068, 2011

    S. Aviran, P.S. Shah, D.V. Schaffer, and A.P. Arkin, Computational models of HIV-1 resistance to gene therapy elucidate therapy design principles, PLoS Computational Biology, 6, e1000883, 2010

    S. Aviran, P.H. Siegel, and J.K. Wolf, Optimal parsing trees for run-length coding of biased data, IEEE Transactions on Information Theory, 54, 841-849, 2008

    S. Aviran, P.H. Siegel, and J.K. Wolf, Noise-predictive turbo equalization for partial-response channels, IEEE Transactions on Magnetics, 41, 2959-2961, 2005

    S. Aviran, P.H. Siegel, and J.K. Wolf, An improvement to the bit stuffing algorithm, IEEE Transactions on Information Theory, 51, 2885-2891, 2005

    S. Aviran, N. Lev-Tov, S. Onn, and U.G. Rothblum, Vertex characterization of partition polytopes of bipartitions and of planar point sets, Discrete Applied Mathematics, 124, 1-15, 2002

    S. Aviran and S. Onn, Momentopes, the complexity of vector partitioning, and Davenport-Schinzel sequences, Discrete & Computational Geometry, 27, 409-417, 2002

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