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0566546 - ÚEB 2023 RIV US eng J - Journal Article
Randall, R. S. - Jourdain, C. - Nowicka, Anna - Kaduchová, Kateřina - Kubová, M. - Ayoub, M. A. - Schubert, V. - Tatout, C. - Colas, I. - Kalyanikrishna, A. - Desset, S. - Mermet, S. - Boulaflous-Stevens, A. - Kubalová, I. - Mandáková, T. - Heckmann, S. - Lysák, M. A. - Panatta, M. - Santoro, R. - Schubert, D. - Pečinka, Aleš - Routh, D. - Baroux, C.
Image analysis workflows to reveal the spatial organization of cell nuclei and chromosomes.
Nucleus. Roč. 13, č. 1 (2022), s. 277-299. ISSN 1949-1034. E-ISSN 1949-1042
R&D Projects: GA MŠMT(CZ) EF16_019/0000827; GA MŠMT(CZ) LM2018129; GA ČR(CZ) GA21-02929S
Institutional support: RVO:61389030
Keywords : 3D organization * chromatin * chromosome * crossovers * image analysis * meiosis * metaphase * mitosis * nuclear bodies * nuclear speckles * Nucleus * oligo FISH * pachytene * quantification * RNA Pol II * segmentation * sim * spatial distribution * STED imaging * transcription factories
OECD category: Cell biology
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://doi.org/10.1080/19491034.2022.2144013
Permanent Link: https://hdl.handle.net/11104/0337871