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pro vyhledávání: '"Turner, Stephen D"'
Autor:
Turner, Stephen D.
The establishment of bioRxiv facilitated the rapid adoption of preprints in the life sciences, accelerating the dissemination of new research findings. However, the sheer volume of preprints published daily can be overwhelming, making it challenging
Externí odkaz:
http://arxiv.org/abs/2408.11707
Autor:
Nagraj, V. P., Turner, Stephen D.
R packages are the fundamental units of reproducible code in R, providing a mechanism for distributing user-developed code, documentation, and data. Docker is a virtualization technology that allows applications and their dependencies to be distribut
Externí odkaz:
http://arxiv.org/abs/2303.07876
Autor:
Turner, Stephen D.
The 1000 Genomes Project provides sequencing data on 3,202 samples from 26 populations spanning five continental regions with no access or use restrictions. The kgp R package provides consistent and comprehensive metadata about samples and population
Externí odkaz:
http://arxiv.org/abs/2210.00539
Real-time forecasting of disease outbreaks requires standardized outputs generated in a timely manner. Development of pipelines to automate infectious disease forecasts can ensure that parameterization and software dependencies are common to any exec
Externí odkaz:
http://arxiv.org/abs/2208.05019
Akademický článek
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Autor:
Barbery, Carlos E. *, Celigoj, Frank A. *, Turner, Stephen D., Smith, Ryan P. *, Kavoussi, Parviz K., Annex, Brian H., Lysiak, Jeffrey J. *, *
Publikováno v:
In The Journal of Sexual Medicine March 2015 12(3):621-630
Autor:
Nagraj, V.P., Scholz, Matthew, Jessa, Shakeel, Ge, Jianye, Woerner, August E., Peters, Dixie, Budowle, Bruce, Coble, Michael D., Turner, Stephen D.
Poster presented at the 2022International Symposium on Human Identification Conference. Background: SNP-based kinship analysis is now a cornerstone of modern forensic genomics. Imputation can be used to augment genome-wide SNP data from low-coverage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c4d6ff67d240e360cca699b0e1a6ddd
Autor:
Song, Woo-Jin, Mondal, Prosenjit, Wolfe, Andrew, Alonso, Laura C., Stamateris, Rachel, Ong, Benny W.T., Lim, Owen C., Yang, Kil S., Radovick, Sally, Novaira, Horacio J., Farber, Emily A., Farber, Charles R., Turner, Stephen D., Hussain, Mehboob A.
Publikováno v:
In Cell Metabolism 1 April 2014 19(4):667-681
Akademický článek
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Autor:
Cramer, Estee Y, Ray, Evan L, Lopez, Velma K, Bracher, Johannes, Brennen, Andrea, Castro Rivadeneira, Alvaro J, Gerding, Aaron, Gneiting, Tilmann, House, Katie H, Huang, Yuxin, Jayawardena, Dasuni, Kanji, Abdul H, Khandelwal, Ayush, Le, Khoa, Mühlemann, Anja, Niemi, Jarad, Shah, Apurv, Stark, Ariane, Wang, Yijin, Wattanachit, Nutcha, Zorn, Martha W, Gu, Youyang, Jain, Sansiddh, Bannur, Nayana, Deva, Ayush, Kulkarni, Mihir, Merugu, Srujana, Raval, Alpan, Shingi, Siddhant, Tiwari, Avtansh, White, Jerome, Abernethy, Neil F, Woody, Spencer, Dahan, Maytal, Fox, Spencer, Gaither, Kelly, Lachmann, Michael, Meyers, Lauren Ancel, Scott, James G, Tec, Mauricio, Srivastava, Ajitesh, George, Glover E, Cegan, Jeffrey C, Dettwiller, Ian D, England, William P, Farthing, Matthew W, Hunter, Robert H, Lafferty, Brandon, Linkov, Igor, Mayo, Michael L, Parno, Matthew D, Rowland, Michael A, Trump, Benjamin D, Zhang-James, Yanli, Chen, Samuel, Faraone, Stephen V, Hess, Jonathan, Morley, Christopher P, Salekin, Asif, Wang, Dongliang, Corsetti, Sabrina M, Baer, Thomas M, Eisenberg, Marisa C, Falb, Karl, Huang, Yitao, Martin, Emily T, McCauley, Ella, Myers, Robert L, Schwarz, Tom, Sheldon, Daniel, Gibson, Graham Casey, Yu, Rose, Gao, Liyao, Ma, Yian, Wu, Dongxia, Yan, Xifeng, Jin, Xiaoyong, Wang, Yu-Xiang, Chen, YangQuan, Guo, Lihong, Zhao, Yanting, Gu, Quanquan, Chen, Jinghui, Wang, Lingxiao, Xu, Pan, Zhang, Weitong, Zou, Difan, Biegel, Hannah, Lega, Joceline, McConnell, Steve, Nagraj, VP, Guertin, Stephanie L, Hulme-Lowe, Christopher, Turner, Stephen D, Shi, Yunfeng, Ban, Xuegang, Walraven, Robert, Hong, Qi-Jun, Kong, Stanley, van de Walle, Axel
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 15
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::331f4bf9e003fcfd485d95be5a5ad402
https://escholarship.org/uc/item/8z24j3h6
https://escholarship.org/uc/item/8z24j3h6