Zobrazeno 1 - 9
of 9
pro vyhledávání: '"James J Winkle"'
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009381 (2021)
The increased complexity of synthetic microbial biocircuits highlights the need for distributed cell functionality due to concomitant increases in metabolic and regulatory burdens imposed on single-strain topologies. Distributed systems, however, int
Externí odkaz:
https://doaj.org/article/b5d3e5a515724a449fca718d2c8ac1d0
Autor:
James J. Winkle, Soutick Saha, Joseph Essman, Matthew R. Bennett, William Ott, Kresimir R Josic, Andrew Mugler
Microbial communities such as swarms or biofilms often form at the interfaces of solid substrates and open fluid flows. At the same time, in laboratory environments these communities are commonly studied using microfluidic devices with media flows an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c67f46fe2de5aba9c161e5afd314ec
https://doi.org/10.1101/2023.01.20.524904
https://doi.org/10.1101/2023.01.20.524904
Publikováno v:
Applied Numerical Mathematics. 166:61-75
Spherulites are growth patterns of average spherical form which may occur in the polycrystallization of binary mixtures due to misoriented angles at low grain boundaries. The dynamic growth of spherulites can be described by a phase field model where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c600901011ab93b991eac2fdb9286b
https://doi.org/10.1016/j.apnum.2021.03.018
https://doi.org/10.1016/j.apnum.2021.03.018
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1009381 (2021)
PLoS Computational Biology
PLoS Computational Biology
The increased complexity of synthetic microbial biocircuits highlights the need for distributed cell functionality due to concomitant increases in metabolic and regulatory burdens imposed on single-strain topologies. Distributed systems, however, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc3d6d7ef6e6006d5cadac715fb3cce9
https://doaj.org/article/b5d3e5a515724a449fca718d2c8ac1d0
https://doaj.org/article/b5d3e5a515724a449fca718d2c8ac1d0
Autor:
Andreas Mang, Sorena Sarmadi, James J. Winkle, Krešimir Josić, Razan N. Alnahhas, Matthew R. Bennett, Robert Azencott
Publikováno v:
Mathematical and Computational Applications; Volume 27; Issue 2; Pages: 22
Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deformable-cell motion by the automated minimization of a new, specific cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::848d8a78634d8d1697bef52b8b7f4337
https://doi.org/10.3390/mca27020022
https://doi.org/10.3390/mca27020022
Autor:
Andrew J. Hirning, Matthew R. Bennett, William Ott, Bhargav Karamched, James J. Winkle, Krešimir Josić, Razan N. Alnahhas
Publikováno v:
ACS Synth Biol
Synthetic microbial consortia consist of two or more engineered strains that grow together and share the same resources. When intercellular signaling pathways are included in the engineered strains, close proximity of the microbes can generate comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::119c6c1f783161c1e4c18405ba2ae000
https://doi.org/10.1101/590505
https://doi.org/10.1101/590505
Publikováno v:
Physical biology. 14(5)
Advances in synthetic biology allow us to engineer bacterial collectives with pre-specified characteristics. However, the behavior of these collectives is difficult to understand, as cellular growth and division as well as extra-cellular fluid flow l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0975d61f008bee4be9f76c8dcd83631
https://pubmed.ncbi.nlm.nih.gov/28649958
https://pubmed.ncbi.nlm.nih.gov/28649958
Publikováno v:
Physical Biology; Oct2017, Vol. 14 Issue 5, p1-1, 1p
Autor:
Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Krešimir Josić, Andreas Mang, Robert Azencott
Publikováno v:
Mathematical and Computational Applications, Vol 27, Iss 2, p 22 (2022)
Our work targets automated analysis to quantify the growth dynamics of a population of bacilliform bacteria. We propose an innovative approach to frame-sequence tracking of deformable-cell motion by the automated minimization of a new, specific cost
Externí odkaz:
https://doaj.org/article/f88405103cee470a9911e94d3622a6bc