Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jacob Bruggemann"'
Publikováno v:
Journal of Structural Biology. 203:37-45
Extraction of particles from cryo-electron microscopy (cryo-EM) micrographs is a crucial step in processing single-particle datasets. Although algorithms have been developed for automatic particle picking, these algorithms generally rely on two-dimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0998b54fefdac6ddebbc881f0da62f9a
https://doi.org/10.1016/j.jsb.2018.02.006
https://doi.org/10.1016/j.jsb.2018.02.006
Autor:
Sohyon Lee, Jacob Bruggemann, Joel W. Blanchard, Chunlei Wu, Pavel Chubukov, Attila Szűcs, Kristin K. Baldwin, Pietro Paolo Sanna, Kevin Eade, Rachel K Tsunemoto, Irina Sokolova, Ali Torkamani
The transcriptional programs that establish neuronal identity evolved to produce the rich diversity of neuronal cell types that arise sequentially during development. Remarkably, transient expression of certain transcription factors can also endow no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78203d7bea38f84a4f7a6e7edb631fbc
https://europepmc.org/articles/PMC6483730/
https://europepmc.org/articles/PMC6483730/
Autor:
Jacob Bruggemann, John Xia, Jonathan Spring, Maria T. Patterson, James Pivarski, Vuong Ly, Walt Wells, Ray Powell, Robert L. Grossman, Nikolas Anderson, Daniel Mandl, Matthew Handy, Shane Pederson, Collin Bennett
Publikováno v:
BigDataService
Project Matsu is a collaboration between the Open Commons Consortium and NASA focused on developing open source technology for the cloud-based processing of Earth satellite imagery. A particular focus is the development of applications for detecting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b672ce6f5191a5898867fb4d5b5f3167
Autor:
James Pivarski, John Xia, Daniel Mandl, Matthew Handy, Robert L. Grossman, Vuong Ly, Walt Wells, Jacob Bruggemann, Ray Powell, Jonathan Spring, Nikolas Anderson, Shane Pederson, Collin Bennett, Maria T. Patterson
Publikováno v:
International Journal of Data Science and Analytics.
Project Matsu is a collaboration between the Open Commons Consortium and NASA focused on developing open source technology for the cloud-based processing of Earth satellite imagery and for detecting fires and floods to help support natural disaster d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5224d03d790a5c1c5dd453dc759437d