Author Title [ Type(Desc)] Year
Filters: Author is Waters, Katrina M  [Clear All Filters]
Journal Article
R. S. McClure, Rericha, Y., Waters, K. M., and Tanguay, R. L., “3' RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism.”, Front Bioinform, vol. 3, p. 1234218, 2023.
L. B. Wilson, McClure, R. S., Waters, K. M., Simonich, M. T., and Tanguay, R. L., “Concentration-response gene expression analysis in zebrafish reveals phenotypically-anchored transcriptional responses to retene.”, Front Toxicol, vol. 4, p. 950503, 2022.
C. I. Rude, Tidwell, L. G., Tilton, S. C., Waters, K. M., Anderson, K. A., and Tanguay, R. L., “Coupling Environmental Whole Mixture Toxicity Screening with Unbiased RNA-Seq Reveals Site-Specific Biological Responses in Zebrafish.”, Toxics, vol. 11, no. 3, 2023.
H. M. Dixon, Bramer, L. M., Scott, R. P., Calero, L., Holmes, D., Gibson, E. A., Cavalier, H. M., Rohlman, D., Miller, R. L., Calafat, A. M., Kincl, L., Waters, K. M., Herbstman, J. B., and Anderson, K. A., “Evaluating predictive relationships between wristbands and urine for assessment of personal PAH exposure.”, Environ Int, vol. 163, p. 107226, 2022.
P. Shankar, McClure, R. S., Waters, K. M., and Tanguay, R. L., “Gene co-expression network analysis in zebrafish reveals chemical class specific modules.”, BMC Genomics, vol. 22, no. 1, p. 658, 2021.
L. Truong, Marvel, S., Reif, D. M., Thomas, D. G., Pande, P., Dasgupta, S., Simonich, M. T., Waters, K. M., and Tanguay, R. L., “The multi-dimensional embryonic zebrafish platform predicts flame retardant bioactivity.”, Reprod Toxicol, vol. 96, pp. 359-369, 2020.
S. J. C. Gosline, Kim, D. Nam, Pande, P., Thomas, D. G., Truong, L., Hoffman, P., Barton, M., Loftus, J., Moran, A., Hampton, S., Dowson, S., Franklin, L., Degnan, D., Anderson, L., Thessen, A., Tanguay, R. L., Anderson, K. A., and Waters, K. M., “The Superfund Research Program Analytics Portal: linking environmental chemical exposure to biological phenotypes.”, Sci Data, vol. 10, no. 1, p. 151, 2023.