Zobrazeno 1 - 10
of 344
pro vyhledávání: '"F, Schuit"'
Autor:
R. Huttener, L. Thorrez, T. In’t Veld, M. Granvik, L. Van Lommel, E. Waelkens, R. Derua, K. Lemaire, L. Goyvaerts, S. De Coster, J. Buyse, F. Schuit
Publikováno v:
BMC Ecology and Evolution, Vol 21, Iss 1, Pp 1-18 (2021)
Abstract Background Approximately 1000 protein encoding genes common for vertebrates are still unannotated in avian genomes. Are these genes evolutionary lost or are they not yet found for technical reasons? Using genome landscapes as a tool to visua
Externí odkaz:
https://doaj.org/article/7ac92416511a4f1dab81075f64a8c32d
Publikováno v:
BMC Evolutionary Biology, Vol 19, Iss 1, Pp 1-11 (2019)
Abstract Background Rapid accumulation of vertebrate genome sequences render comparative genomics a powerful approach to study macro-evolutionary events. The assessment of phylogenic relationships between species routinely depends on the analysis of
Externí odkaz:
https://doaj.org/article/ab39d255f872450fb0a82c32d3586a28
Figure S7. Comparison of phylogenetic trees of 55 vertebrate species. The phylogenetic signal on the left side was assembled based on the correlation between the GC content of genes. The tree on the right side was assembled based on Time Tree of Life
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2549114266ec9e0cb40159edd0417654
Figure S1. Effect of increasing sliding window size on landscape of mRNA GC content. In panels A-E the gray dots represent the GC content of human mRNAs for the individual 15,824 vertebrate genes of the study. Superimposed in blue are the landscapes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911e634bb3ea2094a5ea7638826ba68c
Figure S8. Correlation between GC content of mRNA and GARP% and FYMINK% in encoded proteins. The human data for the 15,824 vertebrate genes were assessed at the level of sliding window 100 means (panels A-C) or values for individual genes of the stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a096cd12f3456150a03d78563a680849
Figure S6. mRNA GC content landscapes from four mammals and four reptiles ranked in a non-human genome. Genes of the same species as in Figs. 1 and 2 of the study were ranked on the order of the Lepisosteus oculatus (spotted gar) genome and GC conten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b461373aa81f52d634cd32a326061775
Table S1. List of the 55 used species in the analysis. Three fish, two amphibians, 13 non-avian reptiles, 16 birds (avian reptiles) and 21 mammals were used in our analysis. The GC content landscapes in the article from the species above listed are m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::554796e24a6d51449c042fad9f716674
Figure S3. Influence of 4147 extra human protein encoding genes landscape of GC content. Panel A shows the human data for the 15,824 vertebrate genes of the study; panel B shows the GC landscape including 4147 genes (many clustered olfactory receptor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::468160db81afb73b42c4d2f8fbf2601c
Figure S2. GC content landscapes of coding sequence, transcript, intron and total gene sequences are strongly correlated. Data from human protein encoding genes were analyzed for the 15,824 vertebrate genes of the study using a sliding window of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3c4fe35003bb353faa3544bcd68d9b
Figure S4. Comparison of human GC content landscapes based on numerical order and on physical position. Panel A shows the human data for the 15,824 vertebrate genes of the study, each gene being positioned on a linear distance scale of the human chro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f2b998b99dbfcdf4f84cfcbb132e08