Zobrazeno 1 - 10
of 14
pro vyhledávání: '"David Bunk"'
Autor:
Josephine Henke, David Bunk, Dina von Werder, Stefan Häusler, Virginia L Flanagin, Kay Thurley
Publikováno v:
eLife, Vol 10 (2021)
As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in nonprimate species. Here, we use time interval reproduction to stud
Externí odkaz:
https://doaj.org/article/57e660252a0d4137a9fd4a949a8a5f54
Publikováno v:
Bioinformatics
Summary Here, we introduce YeastMate, a user-friendly deep learning-based application for automated detection and segmentation of Saccharomyces cerevisiae cells and their mating and budding events in microscopy images. We build upon Mask R-CNN with a
Author response: Distributed coding of duration in rodent prefrontal cortex during time reproduction
Autor:
Josephine Henke, David Bunk, Dina von Werder, Stefan Häusler, Virginia L Flanagin, Kay Thurley
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::784206f94d7f2dabeef2ec7336a770f5
https://doi.org/10.7554/elife.71612.sa2
https://doi.org/10.7554/elife.71612.sa2
Here, we introduce YeastMate, a user-friendly deep learning-based application for automated detection and segmentation of Saccharomyces cerevisiae cells and their mating and budding events in microscopy images. We build upon Mask R-CNN with a custom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7301f1116b4679eb7cd2d543edfb54e
https://doi.org/10.1101/2021.10.13.464238
https://doi.org/10.1101/2021.10.13.464238
Autor:
Till Klecker, Christof Osman, David Bunk, David Hörl, Felix Thoma, Heinrich Leonhardt, Rodaria Roussou, Christina Schug, Andreas Maiser, Peter Walter, Christopher Jakubke
Publikováno v:
Science advances, vol 7, iss 36
Science Advances
Science Advances
Mitochondrial genomes (mtDNA) encode essential subunits of the mitochondrial respiratory chain. Mutations in mtDNA can cause a shortage in cellular energy supply, which can lead to numerous mitochondrial diseases. How cells secure mtDNA integrity ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4931bc826ab94f3119cba17e4d4acbe
https://escholarship.org/uc/item/7455x3k1
https://escholarship.org/uc/item/7455x3k1
Autor:
Douglas Boyle, Siaw-Teng Liaw, Graeme K Hart, Christine Mary Hallinan, Daniel Capurro, Nicole Pratt, Roger Ward, Clair Sullivan, Ashley P Ng, Anton Van Der Vegt, Oliver Daly, Blanca Gallego Luxan, David Bunker
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Objectives In this overview, we describe theObservational Medical Outcomes Partnership Common Data Model (OMOP-CDM), the established governance processes employed in EMR data repositories, and demonstrate how OMOP transformed data provides a lever fo
Externí odkaz:
https://doaj.org/article/286fea1c0fc54f4d8041d0636beb2309
Autor:
Nicolas Gompel, Yingfei Wang, Elena Osipova, Eamonn Murphy, Remo Rohs, David Bunk, Liucong Ling, Bettina Mühling, Deepak Dharmadhikari, David Hörl, Yann Le Poul, Stephan Preibisch, Heinrich Leonhardt, Hartmann Harz, Benjamin Prud'homme, Yaqun Xin, Rita Jaenichen, Mariam Museridze
Publikováno v:
Science Advances
Science Advances, American Association for the Advancement of Science (AAAS), 2020, 6 (49), pp.eabe2955. ⟨10.1126/sciadv.abe2955⟩
Science Advances, 2020, 6 (49), pp.eabe2955. ⟨10.1126/sciadv.abe2955⟩
Science Advances, American Association for the Advancement of Science (AAAS), 2020, 6 (49), pp.eabe2955. ⟨10.1126/sciadv.abe2955⟩
Science Advances, 2020, 6 (49), pp.eabe2955. ⟨10.1126/sciadv.abe2955⟩
A high density of regulatory information encodes a quantitative spatial pattern in a Drosophila transcriptional enhancer.
Developmental enhancers control the expression of genes prefiguring morphological patterns. The activity of an enhancer var
Developmental enhancers control the expression of genes prefiguring morphological patterns. The activity of an enhancer var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c96b7c58695f763b23494f96b0f976b
https://hal.archives-ouvertes.fr/hal-03045153/file/LePoul_et_al_2020_HAL.pdf
https://hal.archives-ouvertes.fr/hal-03045153/file/LePoul_et_al_2020_HAL.pdf
Autor:
Yaqun Xin, Rita Jaenichen, Nicolas Gompel, Liucong Ling, Yingfei Wang, Deepak Dharmadhikari, David Hörl, Yann Le Poul, Mariam Museridze, Benjamin Prud'homme, Bettina Mühling, Heinrich Leonhardt, Eamonn Murphy, Stephan Preibisch, Elena Osipova, Hartmann Harz, David Bunk, Remo Rohs
Transcriptional enhancers are short DNA sequences controlling the spatial activity, timing and levels of eukaryotic gene transcription. Their quantitative transcriptional output is thought to result from the number and organization of transcription f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4927e19f70320af715efedbf0c7d96bc
https://doi.org/10.1101/2020.06.24.169748
https://doi.org/10.1101/2020.06.24.169748
As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in non-primate species. Here, we show that gerbils that solve a time-i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::343c64e2c468f19609af180146e9dbed
https://doi.org/10.1101/2020.04.02.021287
https://doi.org/10.1101/2020.04.02.021287
Autor:
Mark V. Sullivan, Francia Allabush, Harriet Flynn, Banushan Balansethupathy, Joseph A. Reed, Edward T. Barnes, Callum Robson, Phoebe O'Hara, Laura J. Milburn, David Bunka, Arron Tolley, Paula M. Mendes, James H. R. Tucker, Nicholas W. Turner
Publikováno v:
Global Challenges, Vol 7, Iss 6, Pp n/a-n/a (2023)
Abstract Virus recognition has been driven to the forefront of molecular recognition research due to the COVID‐19 pandemic. Development of highly sensitive recognition elements, both natural and synthetic is critical to facing such a global issue.
Externí odkaz:
https://doaj.org/article/2a0375f63de148749f917e9144de332f