Výsledky vyhledávání - "Jiří C Moravec"

Testing for Phylogenetic Signal in Single-Cell RNA-Seq Data

Autor: Robert Lanfear, David L. Spector, Sarah D. Diermeier, Alex Gavryushkin, Jiří C. Moravec

Publikováno v: Journal of Computational Biology. 30:518-537

Phylogenetic methods are emerging as a useful tool to understand cancer evolutionary dynamics, including tumor structure, heterogeneity, and progression. Most currently used approaches utilize either bulk whole genome sequencing (WGS) or single-cell

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76435d4a12929179c8bb5fff0afed24b
https://doi.org/10.1089/cmb.2022.0357

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Akademický článek

Natural selection in bats with historical exposure to white-nose syndrome

Autor: Markéta Harazim, Ivan Horáček, Lucie Jakešová, Kristína Luermann, Jiří C. Moravec, Shannon Morgan, Jiri Pikula, Petr Sosík, Zuzana Vavrušová, Alexandra Zahradníková, Jan Zukal, Natália Martínková

Publikováno v: BMC Zoology, Vol 3, Iss 1, Pp 1-13 (2018)

Abstract Background Hibernation allows animals to survive periods of resource scarcity by reducing their energy expenditure through decreased metabolism. However, hibernators become susceptible to psychrophilic pathogens if they cannot mount an effic

Externí odkaz: https://doaj.org/article/6a1e6999983e4e86bdd5d276d166285a

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Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution

Autor: Kylie Chen, Jiří C Moravec, Alex Gavryushkin, David Welch, Alexei J Drummond

Publikováno v: Molecular Biology and Evolution. 39

Single-cell sequencing provides a new way to explore the evolutionary history of cells. Compared to traditional bulk sequencing, where a population of heterogeneous cells is pooled to form a single observation, single-cell sequencing isolates and amp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::786dffb278e1d53fb35eaa1ee30dba04
https://doi.org/10.1093/molbev/msac143

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Accounting for errors in data improves timing in single-cell cancer evolution

Autor: Kylie Chen, Jiří C. Moravec, Alex Gavryushkin, David Welch, Alexei J. Drummond

Single-cell sequencing provides a new way to explore the evolutionary history of cancers. Compared to traditional bulk sequencing, which samples multiple heterogeneous cells, single-cell sequencing isolates and amplifies genetic material from a singl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f88701b3bbc54a95203902b5a403d315
https://doi.org/10.1101/2021.03.17.435906

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