| A bioinformatics pipeline to build a knowledge database for in silico antibody engineering S Zhao, J Lu Molecular Immunology 48 (8), 1019-1026, 2011 | 2 | 2011 |
| A comprehensive evaluation of ensembl, RefSeq, and UCSC annotations in the context of RNA-seq read mapping and gene quantification S Zhao, B Zhang BMC genomics 16, 1-14, 2015 | 156 | 2015 |
| A germline knowledge based computational approach for determining antibody complementarity determining regions S Zhao, J Lu Molecular immunology 47 (4), 694-700, 2010 | 11 | 2010 |
| A protein kinase C α and β inhibitor blunts hyperphagia to halt renal function decline and reduces adiposity in a rat model of obesity-driven type 2 diabetes J Wang, A Casimiro-Garcia, BG Johnson, J Duffen, M Cain, L Savary, ... Scientific Reports 13 (1), 16919, 2023 | | 2023 |
| AB015. Skin disease activity and autoantibody phenotype are major determinants of blood interferon signatures in dermatomyositis M Tabata, K Sarin, N Marukian, K Page, C Huard, S Zhao, D Bennett, ... Annals of Translational Medicine 9 (5), 2021 | | 2021 |
| Aiolos and T-bet cooperate to repress the ILC3 transcriptional program in human innate lymphocytes CS da Silva, M Cella, R Gamini, P Collins, S Zhao, V Peng, M Robinette, ... The Journal of Immunology 204 (1_Supplement), 84.9-84.9, 2020 | | 2020 |
| Alternative splicing, RNA-seq and drug discovery S Zhao Drug discovery today 24 (6), 1258-1267, 2019 | 77 | 2019 |
| Analysis of a data set of paired uncomplexed protein structures: new metrics for side‐chain flexibility and model evaluation S Zhao, DS Goodsell, AJ Olson Proteins: Structure, Function, and Bioinformatics 43 (3), 271-279, 2001 | 69 | 2001 |
| Anticuerpos anti-il-13 modificados, composiciones, métodos y usos RV Swanson, E Chi, HM Zhou, Y Feng, AV Teplyakov, JM Carton, ... | | 2011 |
| Applications of machine learning in drug discovery and development J Vamathevan, D Clark, P Czodrowski, I Dunham, E Ferran, G Lee, B Li, ... Nature reviews Drug discovery 18 (6), 463-477, 2019 | 2184 | 2019 |
| Assessment of the impact of using a reference transcriptome in mapping short RNA-Seq reads S Zhao PLoS One 9 (7), e101374, 2014 | 31 | 2014 |
| Bioinformatics for RNA-seq data analysis S Zhao, B Zhang, Y Zhang, W Gordon, S Du, T Paradis, M Vincent, ... Bioinformatics—Updated Features and Applications: InTech, 125-49, 2016 | 29 | 2016 |
| Bioinformatics tools for RNA-seq gene and isoform quantification C Zhang, B Zhang, MS Vincent, S Zhao Next Generat. Sequenc. Appl 3 (3), 2016 | 15 | 2016 |
| canvasDesigner: a versatile interactive high-resolution scientific multi-panel visualization toolkit B Zhang, S Zhao, I Neuhaus Bioinformatics 34 (19), 3419-3420, 2018 | 8 | 2018 |
| Cloud computing for next-generation sequencing data analysis S Zhao, K Watrous, C Zhang, B Zhang, J Sen Cloud Computing-Architecture and Applications, InTech, Rijeka, 29-51, 2017 | 22 | 2017 |
| Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells S Zhao, WP Fung-Leung, A Bittner, K Ngo, X Liu PloS one 9 (1), e78644, 2014 | 1335 | 2014 |
| Comparison of stranded and non-stranded RNA-seq transcriptome profiling and investigation of gene overlap S Zhao, Y Zhang, W Gordon, J Quan, H Xi, S Du, D von Schack, B Zhang BMC genomics 16, 1-14, 2015 | 119 | 2015 |
| Computational identification and validation of alternative splicing in ZSF1 rat RNA-seq data, a preclinical model for type 2 diabetic nephropathy C Zhang, K Dower, B Zhang, RV Martinez, LL Lin, S Zhao Scientific reports 8 (1), 7624, 2018 | 12 | 2018 |
| Deep learning of representations for transcriptomics-based phenotype prediction AM Smith, JR Walsh, J Long, CB Davis, P Henstock, MR Hodge, ... BioRxiv, 574723, 2019 | 8 | 2019 |
| Engineered anti-IL-13 antibodies, compositions, methods and uses RV Swanson, E Chi, G Raghunathan, S Zhao, J Fransson, W Cordier, ... | 2 | 2010 |
