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Remo Rohs
Professor
Michelson Center for Convergent Bioscience
University of Southern California;Department of Computer Science, Viterbi School of Engineering, University of Southern California;Department of Physics and Astronomy, University of Southern California;Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California;Department of Chemistry, University of Southern California;Department of Quantitative and Computational Biology, University of Southern California
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基本信息
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Bio
When scientists analyze genomes from the perspective of sequencing, they are looking for the one-dimensional placement of the four possible nucleotides—labeled A, C, G, and T—within a given sample of DNA. Structural analysis, meanwhile, generates three-dimensional representations of these complicated chemical units. There is a nontrivial relationship between DNA sequence and shape. For instance, shape helps determine how accessible a given base pair might be for protein contacts. A clearer grasp of how transcription factors bind DNA could have significant applications for drug design and cancer therapy.
Rohs is at work on creating computational methods for the high-throughput prediction of DNA shape. Supercomputing plays an integral role in analyzing the massive data sets required to predict local DNA shape of whole genomes. The underlying data for the genome-wide shape prediction is generated in computationally extensive all-atom Monte Carlo simulations. Rohs and his team have performed thousands of these simulations on the HPC cluster. The ability to make DNA shape predictions in a high-throughput manner will have significant impacts on genome analysis.
Rohs is at work on creating computational methods for the high-throughput prediction of DNA shape. Supercomputing plays an integral role in analyzing the massive data sets required to predict local DNA shape of whole genomes. The underlying data for the genome-wide shape prediction is generated in computationally extensive all-atom Monte Carlo simulations. Rohs and his team have performed thousands of these simulations on the HPC cluster. The ability to make DNA shape predictions in a high-throughput manner will have significant impacts on genome analysis.
Research Interests
Papers共 139 篇Author StatisticsCo-AuthorSimilar Experts
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Biophysical Reviewspp.1-18, (2024)
Raktim Mitra,Jinsen Li, Jared M Sagendorf, Yibei Jiang, Ari S Cohen,Tsu-Pei Chiu, Cameron J Glasscock,Remo Rohs
Nature methodspp.1-10, (2024)
bioRxiv : the preprint server for biology (2024)
Biophysical Reviewspp.1-18, (2024)
NUCLEIC ACIDS RESEARCHno. W1 (2024): W354-W361
Victoria A Bonnell, Yuning Zhang, Alan S Brown,John Horton,Gabrielle A Josling,Tsu-Pei Chiu,Remo Rohs,Shaun Mahony,Raluca Gordân,Manuel Llinás
Nucleic acids research (2024)
Jesse A. Weller,Remo Rohs
biorxiv(2024)
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Author Statistics
#Papers: 139
#Citation: 9595
H-Index: 47
G-Index: 97
Sociability: 6
Diversity: 0
Activity: 1
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