Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Mads Kærn"'
Autor:
Hertek Gill, Mahdi Ahsan, Yara Khalil, Victoria Feng, Jessie Pearce, Tarasha Sharma, Mohamad Radwan, Austin Boucinha, Mads Kærn
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Post-secondary education is falling behind in delivering the talent and skills development needed to support the growth of biology-based economies and the demands of professional and research-based graduate degree programs. Here, we describe an appli
Externí odkaz:
https://doaj.org/article/45b33becd9a2426482d2b0c4c48fd0e7
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-19 (2019)
Abstract Background Phenotypic variability of human populations is partly the result of gene polymorphism and differential gene expression. As such, understanding the molecular basis for diversity requires identifying genes with both high and low pop
Externí odkaz:
https://doaj.org/article/8008a172817b473b886a6e0d248fbe65
Autor:
Louis Dacquay, Annika Flint, James Butcher, Danny Salem, Michael Kennedy, Mads Kaern, Alain Stintzi, Kristin Baetz
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 6, Pp 1799-1809 (2017)
Actively proliferating cells constantly monitor and readjust their metabolic pathways to ensure the replenishment of phospholipids necessary for membrane biogenesis and intracellular trafficking. In Saccharomyces cerevisiae, multiple studies have sug
Externí odkaz:
https://doaj.org/article/0f1be6d03df244588a4133165f36ffd7
Publikováno v:
Engineering Biology (2019)
Drug resistance complicates the treatment of cancer and infectious diseases, and often arises from the elevated expression of a gene that neutralises or reduces drug activity. To investigate this and other expression-based mechanisms of drug resistan
Externí odkaz:
https://doaj.org/article/fed4bb08befb47b78cd2cede2470ea17
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2692 (2021)
Accurate and efficient segmentation of live-cell images is critical in maximizing data extraction and knowledge generation from high-throughput biology experiments. Despite recent development of deep-learning tools for biomedical imaging applications
Externí odkaz:
https://doaj.org/article/5fda3203387a4eebbf1ff2b106ac29b8
Autor:
Brian Ingalls, Christian A. Emond, Danielle Serra, Andres Escobar, Daniel Tsyplenkov, Patrick Diep, Austin Boucinha, Brayden Kell, Dawn M. Kilkenny, Radhakrishnan Mahadevan, Bi-ru Amy Yeung, Mads Kærn, Victoria A. Sajtovich, Garfield Gini-Newman, Xingyu Amy Chen, Ansley Gnanapragasam
Publikováno v:
Canadian Journal of Microbiology. 67:749-770
The last two decades have seen vigorous activity in synthetic biology research and the ever-increasing applications of these technologies. However, pedagogical research pertaining to teaching synthetic biology is scarce, especially when compared to o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7a105a5cc26b507b222001323f947fb
https://doi.org/10.1139/cjm-2020-0549
https://doi.org/10.1139/cjm-2020-0549
Publikováno v:
Cell Reports, Vol 5, Iss 4, Pp 961-973 (2013)
The subgranular zone (SGZ) of the adult hippocampus contains a pool of quiescent neural progenitor cells (QNPs) that are capable of entering the cell cycle and producing newborn neurons. The mechanisms that control the timing and extent of adult neur
Externí odkaz:
https://doaj.org/article/57a2ee747e974ea4b10e793eb5c85ca9
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports
Scientific Reports
An imaging-integrated microfluidic cell volume sensor was used to evaluate the volumetric growth rate of single cells from a Saccharomyces cerevisiae population exhibiting two phenotypic expression states of the PDR5 gene. This gene grants multidrug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::affe8c9b257cbba5f7b494032ec04583
http://link.springer.com/article/10.1038/s41598-018-36000-3
http://link.springer.com/article/10.1038/s41598-018-36000-3
Accurate and efficient segmentation of live-cell images is critical in maximising data extraction and knowledge generation from high-throughput biology experiments. Despite recent development of deep learning tools for biomedical imaging applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f73f8796b2a559600e2a18d4d7fe3cc
https://doi.org/10.1101/2020.11.30.402917
https://doi.org/10.1101/2020.11.30.402917
Autor:
Mads Kærn, Victoria A. Sajtovich, Dawn M. Kilkenny, Daniel Tsyplenkov, Austin Boucinha, Xingyu Chen, Brian Ingalls, Danielle Serra, Ansley Gnanapragasam, Brayden Kell, Christian A. Emond, Garfield Gini-Newman, Andres Escobar, Radhakrishnan Mahadevan, Bi-ru Amy Yeung, Patrick Diep
The last two decades have seen vigorous activity in synthetic biology research and ever-increasing applications of synthetic biology technologies. However, pedagogical research on synthetic biology is scarce, especially when compared to some scientif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961947135779206a2378d4428c7cdc70
https://doi.org/10.1101/2020.11.04.365999
https://doi.org/10.1101/2020.11.04.365999