Staff information
Grant Fujimoto
Software Engineer
Pacific Northwest National Laboratory
PO Box 999
MSIN: K8-98
Richland, WA 99352
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PNNL Publications
2019
- Gan N., X. Zhen, Y. Liu, X. Xu, C. He, J. Qiu, and Y. Liu, et al. 2019. "Regulation of phosphoribosyl ubiquitination by a calmodulin-dependent glutamylase." Nature 572, no. 7769:387-391. PNNL-SA-142888. doi:10.1038/s41586-019-1439-1
2018
- Lee J., G.M. Fujimoto, R.E. Wilson, H. Wiley, and S.H. Payne. 2018. "Blazing Signature Filter: a library for fast pairwise similarity comparisons." BMC Bioinformatics 19. PNNL-SA-126956. doi:10.1186/s12859-018-2210-6
2017
- Kyle J.E., K.L. Crowell, C.P. Casey, G.M. Fujimoto, S. Kim, S.E. Dautel, and R.D. Smith, et al. 2017. "LIQUID: an-open source software for identifying lipids in LC-MS/MS-based lipidomics data." Bioinformatics 33, no. 11:1744-1746. PNNL-SA-118436. doi:10.1093/bioinformatics/btx046
- Park J., P.D. Piehowski, C.S. Wilkins, M. Zhou, J.A. Mendoza, G.M. Fujimoto, and B.C. Gibbons, et al. 2017. "Informed-Proteomics: Open Source Software Package for Top-down Proteomics." Nature Methods 14, no. 9:909-914. PNNL-SA-120171. doi:10.1038/nmeth.4388
2016
- Degan M.G., L. Ryadinskiy, G.M. Fujimoto, C.S. Wilkins, C.F. Lichti, and S.H. Payne. 2016. "A Skyline Plugin for Pathway-Centric Data Browsing." Journal of the American Society for Mass Spectrometry 27, no. 11:1752-1757. PNNL-SA-117929. doi:10.1007/s13361-016-1448-3
2015
- Payne S.H., M.E. Monroe, C.C. Overall, G.R. Kiebel, M.G. Degan, B.C. Gibbons, and G.M. Fujimoto, et al. 2015. "The Pacific Northwest National Laboratory library of bacterial and archaeal proteomic biodiversity." Scientific Data 2. PNNL-SA-108944. doi:10.1038/sdata.2015.41
- Xu Z., C. Wu, F. Xie, G.W. Slysz, N. Tolic, M.E. Monroe, and V.A. Petyuk, et al. 2015. "Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes." Journal of Proteome Research 14, no. 1:422-433. PNNL-SA-103951. doi:10.1021/pr500840w
2014
- Fujimoto G.M., M.E. Monroe, L.M. Rodriguez, C. Wu, B. MacLean, R.D. Smith, and M. MacCoss, et al. 2014. "Accounting for population variation in targeted proteomics." Journal of Proteome Research 13, no. 1:321-323. PNNL-SA-99100. doi:10.1021/pr4011052