Drena Dobbs
Drena Dobbs
University Professor, Emerita, Genetics, Development & Cell Biology, Iowa State University
Verified email at - Homepage
Cited by
Cited by
Rapid “open-source” engineering of customized zinc-finger nucleases for highly efficient gene modification
ML Maeder, S Thibodeau-Beganny, A Osiak, DA Wright, RM Anthony, ...
Molecular cell 31 (2), 294-301, 2008
Predicting linear B‐cell epitopes using string kernels
Y EL‐Manzalawy, D Dobbs, V Honavar
Journal of Molecular Recognition: An Interdisciplinary Journal 21 (4), 243-255, 2008
Selection-free zinc-finger-nuclease engineering by context-dependent assembly (CoDA)
JD Sander, EJ Dahlborg, MJ Goodwin, L Cade, F Zhang, D Cifuentes, ...
Nature methods 8 (1), 67-69, 2011
High frequency targeted mutagenesis in Arabidopsis thaliana using zinc finger nucleases
F Zhang, ML Maeder, E Unger-Wallace, JP Hoshaw, D Reyon, ...
Proceedings of the National Academy of Sciences 107 (26), 12028-12033, 2010
Predicting RNA-protein interactions using only sequence information
UK Muppirala, VG Honavar, D Dobbs
BMC bioinformatics 12, 1-11, 2011
ZiFiT (Zinc Finger Targeter): an updated zinc finger engineering tool
JD Sander, ML Maeder, D Reyon, DF Voytas, JK Joung, D Dobbs
Nucleic acids research 38 (suppl_2), W462-W468, 2010
Targeted mutagenesis of duplicated genes in soybean with zinc-finger nucleases
SJ Curtin, F Zhang, JD Sander, WJ Haun, C Starker, NJ Baltes, D Reyon, ...
Plant physiology 156 (2), 466-473, 2011
Zinc Finger Targeter (ZiFiT): an engineered zinc finger/target site design tool
JD Sander, P Zaback, JK Joung, DF Voytas, D Dobbs
Nucleic acids research 35 (suppl_2), W599-W605, 2007
Standardized reagents and protocols for engineering zinc finger nucleases by modular assembly
DA Wright, S Thibodeau-Beganny, JD Sander, RJ Winfrey, AS Hirsh, ...
Nature protocols 1 (3), 1637-1652, 2006
Predicting flexible length linear B-cell epitopes
Y El-Manzalawy, D Dobbs, V Honavar
Computational Systems Bioinformatics: (Volume 7), 121-132, 2008
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins
M Terribilini, JD Sander, JH Lee, P Zaback, RL Jernigan, V Honavar, ...
Nucleic acids research 35 (suppl_2), W578-W584, 2007
Glycosylation site prediction using ensembles of Support Vector Machine classifiers
C Caragea, J Sinapov, A Silvescu, D Dobbs, V Honavar
BMC bioinformatics 8, 1-13, 2007
Prediction of RNA binding sites in proteins from amino acid sequence
M Terribilini, JH Lee, C Yan, RL Jernigan, V Honavar, D Dobbs
RNA 12 (8), 1450-1462, 2006
Characterization of protein–protein interfaces
C Yan, F Wu, RL Jernigan, D Dobbs, V Honavar
The protein journal 27, 59-70, 2008
A two-stage classifier for identification of protein–protein interface residues
C Yan, D Dobbs, V Honavar
Bioinformatics 20 (suppl_1), i371-i378, 2004
Computational prediction of protein interfaces: A review of data driven methods
LC Xue, D Dobbs, AMJJ Bonvin, V Honavar
FEBS letters 589 (23), 3516-3526, 2015
Predicting DNA-binding sites of proteins from amino acid sequence
C Yan, M Terribilini, F Wu, RL Jernigan, D Dobbs, V Honavar
BMC bioinformatics 7, 1-10, 2006
5′ flanking sequence signals are required for activity of silkworm alanine tRNA genes in homologous in vitro transcription systems
KU Sprague, D Larson, D Morton
Cell 22 (1), 171-178, 1980
Dynamics of telomere length variation in Tetrahymena thermophila
DD Larson, EA Spangler, EH Blackburn
Cell 50 (3), 477-483, 1987
PRIDB: a protein–RNA interface database
BA Lewis, RR Walia, M Terribilini, J Ferguson, C Zheng, V Honavar, ...
Nucleic acids research 39 (suppl_1), D277-D282, 2010
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