Show simple item record

Scipiontomo: towards cryo-electron tomography software integration, reproducibility, and validation

dc.contributor.authorJiménez de la Morena, J.
dc.contributor.authorConesa, P.
dc.contributor.authorFonseca, Y. C.
dc.contributor.authorMartínez Sánchez, Antonio 
dc.date.accessioned2023-02-01T11:51:24Z
dc.date.available2023-02-01T11:51:24Z
dc.date.issued2022
dc.identifier.citationJournal of Structural Biology, 214(3) (2022); doi:10.1016/j.jsb.2022.107872
dc.identifier.issn1047-8477
dc.identifier.urihttp://hdl.handle.net/10651/66085
dc.description.sponsorshipThe authors acknowledge the economical support from MICINN to the Instruct Image Processing Center (I2PC) as part of the Spanish participation in Instruct-ERIC, the European Strategic Infrastructure Project (ESFRI) in the area of Structural Biology and Grant PID2019- 104757RB-I00 funded by MCIN/AEI/ 10.13039/501100011033/ and “ERDF A way of making Europe”, by the “European Union”, the support of the French National Research Agency - ANR (ANR-20-CE11-0020-03 and ANR-19-CE11-0008-01 to S.J.). The project that gave rise to these results received the support of a fellowship from the “la Caixa’’ Foundation (ID 100010434). The fellowship code is LCF/BQ/DI18/11660021. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713673. European Union (EU) and Horizon 2020 through grant: HighResCells (ERC - 2018 - SyG, Proposal: 810057) EOSC Life (INFRAEOSC-04-2018, Proposal: 824087) (...)
dc.description.statementofresponsibilityJiménez de la Morena J, Conesa P, Fonseca YC, de Isidro-Gómez FP, Herreros D, Fernández-Giménez E, Strelak D, Moebel E, Buchholz TO, Jug F, Martinez-Sanchez A, Harastani M, Jonic S, Conesa JJ, Cuervo A, Losana P, Sánchez I, Iceta M, Del Cano L, Gragera M, Melero R, Sharov G, Castaño-Díez D, Koster A, Piccirillo JG, Vilas JL, Otón J, Marabini R, Sorzano COS, Carazo JM
dc.language.isoeng
dc.relation.ispartofJournal of Structural Biology
dc.rights© 2022 Los autores. Publicado por Elsevier Inc.
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85131679905&doi=10.1016%2fj.jsb.2022.107872&partnerID=40&md5=f84610604e8dcbd0f2a9da456a088a33
dc.titleScipiontomo: towards cryo-electron tomography software integration, reproducibility, and validation
dc.typejournal article
dc.identifier.doi10.1016/j.jsb.2022.107872
dc.relation.projectIDMICINN/Grant PID2019- 104757RB-I00
dc.relation.projectIDinfo:eu‐repo/grantAgreement/EC/H2020/713673
dc.relation.projectIDinfo:eu‐repo/grantAgreement/EC/H2020/810057
dc.relation.projectIDinfo:eu‐repo/grantAgreement/EC/H2020/824087
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jsb.2022.107872
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


Files in this item

untranslated

This item appears in the following Collection(s)

Show simple item record

© 2022 Los autores. Publicado por Elsevier Inc.
This item is protected with a Creative Commons License