Number of the records: 1
Representing GC variation along eukaryotic chromosomes
- 1.
SYSNO ASEP 0105339 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Representing GC variation along eukaryotic chromosomes Title Zobrazení variace GC v eukaryotických chromozomech Author(s) Pačes, Jan (UMG-J) RID, ORCID
Zíka, Radek (UMG-J)
Pačes, Václav (UMG-J) RID
Pavlíček, A. (US)
Clay, O. (IT)
Bernardi, G. (IT)Source Title Gene. - : Elsevier - ISSN 0378-1119
Roč. 333, - (2004), s. 135-141Number of pages 7 s. Language eng - English Country NL - Netherlands Keywords GC content ; genome organization ; compositional homogenity Subject RIV EB - Genetics ; Molecular Biology R&D Projects LN00A079 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z5052915 - UMG-J Annotation Genome sequencing now permits direct visual representation, at any scale, of GC heterogeneity along the chromosomes of several higher eukaryotes. Plots can be easily obtained from the chromosomal sequences, yet sequence releases of mammalian or plant chromosomes still tend to use small scales or window sizes that obscure important large-scale compositional features. To faithfully reveal, at one glance, the compositional variation at a given scale, we have devised a simple scheme that combines line plots with color-coded shading of the regions underneath the plots. The scheme can be applied to different eukaryotic genomes to facilitate their comparison, as illustrated here for a sample of chromosomes chosen from seven selected species. As a complement to a previously published compact view of isochores in the human genome sequence [FEBS Lett. 511 (2002a) 165], we include here an analogous map for the recently sequenced mouse genome, and discuss the contribution of repetitive DNA to the GC variation along the plots. Supplementary information, including a database of color-coded GC profiles for all recently sequenced eukaryotes and the program draw_chromosomes_gc.pl used to obtain them, are available at http://genomat.img.cas.cz Workplace Institute of Molecular Genetics Contact Nikol Škňouřilová, nikol.sknourilova@img.cas.cz, Tel.: 241 063 217 Year of Publishing 2010
Number of the records: 1