Walter L. Ruzzo
Affiliations: | Computer Science and Engineering | University of Washington, Seattle, Seattle, WA |
Area:
Computer Science, Bioinformatics Biology, Microbiology BiologyGoogle:
"Walter Ruzzo"Children
Sign in to add traineeKa Y. Yeung | grad student | 2001 | University of Washington |
Agatha H. Liu | grad student | 2002 | University of Washington |
Zasha Weinberg | grad student | 2005 | University of Washington |
Huei-Hun E. Tseng | grad student | 2012 | University of Washington |
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Publications
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Seemann SE, Mirza AH, Bang-Berthelsen CH, et al. (2022) Does rapid sequence divergence preclude RNA structure conservation in vertebrates? Nucleic Acids Research |
Jones DC, Ruzzo WL. (2021) Polee: RNA-Seq analysis using approximate likelihood. Nar Genomics and Bioinformatics. 3: lqab046 |
Kirsch R, Seemann SE, Ruzzo WL, et al. (2018) Identification and characterization of novel conserved RNA structures in Drosophila. Bmc Genomics. 19: 899 |
Hecker N, Seemann SE, Silahtaroglu A, et al. (2017) Associating transcription factors and conserved RNA structures with gene regulation in the human brain. Scientific Reports. 7: 5776 |
Seemann SE, Mirza AH, Hansen C, et al. (2017) The identification and functional annotation of RNA structures conserved in vertebrates. Genome Research |
Peng X, Pipes L, Xiong H, et al. (2014) Assessment and improvement of Indian-origin rhesus macaque and Mauritian-origin cynomolgus macaque genome annotations using deep transcriptome sequencing data. Journal of Medical Primatology. 43: 317-28 |
Ruzzo WL, Gorodkin J. (2014) De novo discovery of structured ncRNA motifs in genomic sequences. Methods in Molecular Biology (Clifton, N.J.). 1097: 303-18 |
Gorodkin J, Hofacker IL, Ruzzo WL. (2014) Concepts and introduction to RNA bioinformatics. Methods in Molecular Biology (Clifton, N.J.). 1097: 1-31 |
Yao Z, Macquarrie KL, Fong AP, et al. (2014) Discriminative motif analysis of high-throughput dataset. Bioinformatics (Oxford, England). 30: 775-83 |
Bolouri H, Ruzzo WL. (2012) Integration of 198 ChIP-seq datasets reveals human cis-regulatory regions. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 19: 989-97 |