Sugar beets combinability analyzes throghut two cycles of recurrent breeding

Autor: М. О. Корнєєва, Л. В. Фалатюк

Publikováno v: Plant Varieties Studying and Protection, Vol 0, Iss 2(19), Pp 58-61 (2013)

Yield and sugar content genetic analyzes for hybrids developed engaging pollinating lines of the first and the second inbred generations throughout two cycles of recurrent breeding has underpinned the determination of regularities for combinability e

Externí odkaz: https://doaj.org/article/992ba03579184fbe8186bdc9bdba1a3a

The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.

Autor: Amini, Saman^1,2, Jacobsen, Annika³, Ivanova, Olga³, Lijnzaad, Philip¹, Heringa, Jaap³, Holstege, Frank C. P.¹, Feenstra, K. Anton³, Kemmeren, Patrick^1,2 p.kemmeren@prinsesmaximacentrum.nl

Publikováno v: PLoS Computational Biology. 5/13/2019, Vol. 15 Issue 5, p1-27. 27p. 1 Chart, 8 Graphs.

Integration of probabilistic functional networks without an external Gold Standard.

Autor: James, Katherine^1,2 (AUTHOR) katherine.james@newcastle.ac.uk, Alsobhe, Aoesha^2,3 (AUTHOR), Cockell, Simon J⁴ (AUTHOR), Wipat, Anil² (AUTHOR), Pocock, Matthew² (AUTHOR)

Publikováno v: BMC Bioinformatics. 7/25/2022, Vol. 23 Issue 1, p1-18. 18p.

The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern

Autor: Olga Ivanova, Annika Jacobsen, Jaap Heringa, Patrick Kemmeren, Philip Lijnzaad, Saman Amini, Frank C. P. Holstege, K. Anton Feenstra

Publikováno v: PLoS Computational Biology
Amini, S, Jacobsen, A, Ivanova, O, Lijnzaad, P, Heringa, J, Holstege, F C P, Feenstra, K A & Kemmeren, P 2019, ' The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern ', PLoS Computational Biology, vol. 15, no. 5, e1007061, pp. 1-27 . https://doi.org/10.1371/journal.pcbi.1007061
PLoS Computational Biology, Vol 15, Iss 5, p e1007061 (2019)
PLoS Computational Biology, 15(5):e1007061, 1-27. Public Library of Science

Genetic interactions, a phenomenon whereby combinations of mutations lead to unexpected effects, reflect how cellular processes are wired and play an important role in complex genetic diseases. Understanding the molecular basis of genetic interaction

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76525b2666e93591685a985c363206d5
http://europepmc.org/articles/PMC6532943

Characterization of Epistatic Interaction of QTLs LH8 and EH3 Controlling Heading Date in Rice.

Autor: Jingbin Chen^1,2, Xiaoyan Li^1,3, Cheng Cheng¹, Yahuan Wang¹, Mao Qin¹, Haitao Zhu¹, Ruizhen Zen¹, Xuelin Fu¹, Ziqiang Liu¹ zqliu@scau.edu.cn, Guiquan Zhang¹ gqzhang@scau.edu.cn

Publikováno v: Scientific Reports. 3/7/2014, p1-9. 9p.