MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms

Munich School for Data Science (MUDS); Boehringer Ingelheim Fonds; Alexander von Humboldt Foundation; EMBO; DFG [EN 1194/1-1, FOR 2092]; Helmholtz Munich; Biozentrum of the University of Basel; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [390729940]

Detalles Bibliográficos
Autores: Lamm, L., Righetto, R. D., Wietrzynski, W., Pöge, M., Martínez Sánchez, Antonio|||0000-0002-5865-2138, Peng, T., Engel, B. D.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/67120
Acceso en línea:http://hdl.handle.net/10651/67120
https://dx.doi.org/10.1016/j.cmpb.2022.106990
Access Level:acceso abierto
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spelling MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomogramsLamm, L.Righetto, R. D.Wietrzynski, W.Pöge, M.Martínez Sánchez, Antonio|||0000-0002-5865-2138Peng, T.Engel, B. D.Munich School for Data Science (MUDS); Boehringer Ingelheim Fonds; Alexander von Humboldt Foundation; EMBO; DFG [EN 1194/1-1, FOR 2092]; Helmholtz Munich; Biozentrum of the University of Basel; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [390729940]20222022-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://hdl.handle.net/10651/67120https://dx.doi.org/10.1016/j.cmpb.2022.106990Scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85134568571&doi=10.1016%2fj.cmpb.2022.106990&partnerID=40&md5=22736b6deb64787b4d4387d7e0d046d7reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/671202026-06-07T06:38:51Z
dc.title.none.fl_str_mv MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
title MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
spellingShingle MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
Lamm, L.
title_short MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
title_full MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
title_fullStr MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
title_full_unstemmed MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
title_sort MemBrain: a deep learning-aided pipeline for detection of membrane proteins in cryo-electron tomograms
dc.creator.none.fl_str_mv Lamm, L.
Righetto, R. D.
Wietrzynski, W.
Pöge, M.
Martínez Sánchez, Antonio|||0000-0002-5865-2138
Peng, T.
Engel, B. D.
author Lamm, L.
author_facet Lamm, L.
Righetto, R. D.
Wietrzynski, W.
Pöge, M.
Martínez Sánchez, Antonio|||0000-0002-5865-2138
Peng, T.
Engel, B. D.
author_role author
author2 Righetto, R. D.
Wietrzynski, W.
Pöge, M.
Martínez Sánchez, Antonio|||0000-0002-5865-2138
Peng, T.
Engel, B. D.
author2_role author
author
author
author
author
author
description Munich School for Data Science (MUDS); Boehringer Ingelheim Fonds; Alexander von Humboldt Foundation; EMBO; DFG [EN 1194/1-1, FOR 2092]; Helmholtz Munich; Biozentrum of the University of Basel; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [390729940]
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10651/67120
https://dx.doi.org/10.1016/j.cmpb.2022.106990
url http://hdl.handle.net/10651/67120
https://dx.doi.org/10.1016/j.cmpb.2022.106990
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
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eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134568571&doi=10.1016%2fj.cmpb.2022.106990&partnerID=40&md5=22736b6deb64787b4d4387d7e0d046d7
reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
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