| Integrated proteogenomic characterization of clear cell renal cell carcinoma DJ Clark, SM Dhanasekaran, F Petralia, J Pan, X Song, Y Hu, ... Cell 179 (4), 964-983. e31, 2019 | 498 | 2019 |
| Proteogenomic characterization reveals therapeutic vulnerabilities in lung adenocarcinoma MA Gillette, S Satpathy, S Cao, SM Dhanasekaran, SV Vasaikar, K Krug, ... Cell 182 (1), 200-225. e35, 2020 | 453 | 2020 |
| Proteogenomic characterization of endometrial carcinoma Y Dou, EA Kawaler, DC Zhou, MA Gritsenko, C Huang, L Blumenberg, ... Cell 180 (4), 729-748. e26, 2020 | 321 | 2020 |
| Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma C Huang, L Chen, SR Savage, RV Eguez, Y Dou, Y Li, ... Cancer cell 39 (3), 361-379. e16, 2021 | 214 | 2021 |
| A proteogenomic portrait of lung squamous cell carcinoma S Satpathy, K Krug, PMJ Beltran, SR Savage, F Petralia, C Kumar-Sinha, ... Cell 184 (16), 4348-4371. e40, 2021 | 186 | 2021 |
| Cancer neoantigen prioritization through sensitive and reliable proteogenomics analysis B Wen, K Li, Y Zhang, B Zhang Nature communications 11 (1), 1759, 2020 | 101 | 2020 |
| Detection of proteome diversity resulted from alternative splicing is limited by trypsin cleavage specificity X Wang, SG Codreanu, BO Wen, K Li, MC Chambers, DC Liebler, ... Molecular & Cellular Proteomics 17 (3), 422-430, 2018 | 84 | 2018 |
| PDV: an integrative proteomics data viewer K Li, M Vaudel, B Zhang, Y Ren, B Wen Bioinformatics 35 (7), 1249-1251, 2019 | 79 | 2019 |
| Hsa_circ_0001859 regulates ATF2 expression by functioning as an MiR-204/211 sponge in human rheumatoid arthritis B Li, N Li, L Zhang, K Li, Y Xie, M Xue, Z Zheng Journal of Immunology Research 2018, 2018 | 53 | 2018 |
| DeepRescore: leveraging deep learning to improve peptide identification in immunopeptidomics K Li, A Jain, A Malovannaya, B Wen, B Zhang Proteomics 20 (21-22), 1900334, 2020 | 52 | 2020 |
| MSBooster: improving peptide identification rates using deep learning-based features KL Yang, F Yu, GC Teo, K Li, V Demichev, M Ralser, AI Nesvizhskii Nature Communications 14 (1), 4539, 2023 | 28 | 2023 |
| Improvements to the rice genome annotation through large-scale analysis of RNA-Seq and proteomics data sets*[S] Z Ren, D Qi, N Pugh, K Li, B Wen, R Zhou, S Xu, S Liu, AR Jones Molecular & Cellular Proteomics 18 (1), 86-98, 2019 | 25 | 2019 |
| caAtlas: an immunopeptidome atlas of human cancer X Yi, Y Liao, B Wen, K Li, Y Dou, SR Savage, B Zhang Iscience 24 (10), 2021 | 23 | 2021 |
| MSFragger-Labile: A Flexible Method to Improve Labile PTM Analysis in Proteomics DA Polasky, DJ Geiszler, F Yu, K Li, GC Teo, AI Nesvizhskii Molecular & Cellular Proteomics 22 (5), 2023 | 9 | 2023 |
| Deep-learning-derived evaluation metrics enable effective benchmarking of computational tools for phosphopeptide identification W Jiang, B Wen, K Li, WF Zeng, F da Veiga Leprevost, J Moon, VA Petyuk, ... Molecular & Cellular Proteomics 20, 2021 | 9 | 2021 |
| Enabling Large-scale Glycoproteomics Data Analysis with the MSFragger Glyco Software Suite D Polasky, F Yu, D Geislzer, K Li, A Nesvizhskii GLYCOBIOLOGY 32 (11), 973-974, 2022 | | 2022 |
Bo WenUniversity of WashingtonVerified email at uw.edu
