Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ulas Işıldak"'
Autor:
Hamit Izgi, Dingding Han, Ulas Isildak, Shuyun Huang, Ece Kocabiyik, Philipp Khaitovich, Mehmet Somel, Handan Melike Dönertaş
Publikováno v:
eLife, Vol 11 (2022)
Developmental trajectories of gene expression may reverse in their direction during ageing, a phenomenon previously linked to cellular identity loss. Our analysis of cerebral cortex, lung, liver, and muscle transcriptomes of 16 mice, covering develop
Externí odkaz:
https://doaj.org/article/b23ed52f86bf4ad88499afb3416a1406
Autor:
Zeliha Gözde Turan, Vincent Richter, Jana Bochmann, Poorya Parvizi, Etka Yapar, Ulas Işıldak, Sarah-Kristin Waterholter, Sabrina Leclere-Turbant, Çağdaş Devrim Son, Charles Duyckaerts, İdil Yet, Thomas Arendt, Mehmet Somel, Uwe Ueberham
Publikováno v:
Acta Neuropathologica Communications, Vol 10, Iss 1, Pp 1-16 (2022)
Abstract The possible role of somatic copy number variations (CNVs) in Alzheimer’s disease (AD) aetiology has been controversial. Although cytogenetic studies suggested increased CNV loads in AD brains, a recent single-cell whole-genome sequencing
Externí odkaz:
https://doaj.org/article/ba317eb633834c2a8760cce667a8cb1c
Publikováno v:
PLoS Genetics, Vol 19, Iss 9, p e1010931 (2023)
f-statistics have emerged as a first line of analysis for making inferences about demographic history from genome-wide data. Not only are they guaranteed to allow robust tests of the fits of proposed models of population history to data when analyzin
Externí odkaz:
https://doaj.org/article/f449173ee7cc4468a66baa0a9ddfcf74
Publikováno v:
eLife, Vol 12 (2023)
Our understanding of population history in deep time has been assisted by fitting admixture graphs (AGs) to data: models that specify the ordering of population splits and mixtures, which along with the amount of genetic drift and the proportions of
Externí odkaz:
https://doaj.org/article/1483517dd0c149d8b5cd63e751b0d70d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/6c8b4ded1e724df3b959a819b58b8469
Autor:
Luis Torada, Lucrezia Lorenzon, Alice Beddis, Ulas Isildak, Linda Pattini, Sara Mathieson, Matteo Fumagalli
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S9, Pp 1-12 (2019)
Abstract Background The genetic bases of many complex phenotypes are still largely unknown, mostly due to the polygenic nature of the traits and the small effect of each associated mutation. An alternative approach to classic association studies to d
Externí odkaz:
https://doaj.org/article/159c211942084f0d86e423dcb60b68ed