Biology – Quantitative Biology – Genomics
Scientific paper
2004-11-03
Physical Review E, 71, 041910 (2005)
Biology
Quantitative Biology
Genomics
9 pages (figures included), 9 figures
Scientific paper
10.1103/PhysRevE.71.041910
Spatial fluctuations of guanine and cytosine base content (GC%) are studied by spectral analysis for the complete set of human genomic DNA sequences. We find that (i) the 1/f^alpha decay is universally observed in the power spectra of all twenty-four chromosomes, and that (ii) the exponent alpha \approx 1 extends to about 10^7 bases, one order of magnitude longer than what has previously been observed. We further find that (iii) almost all human chromosomes exhibit a cross-over from alpha_1 \approx 1 (1/f^alpha_1) at lower frequency to alpha_2 < 1 (1/f^alpha_2) at higher frequency, typically occurring at around 30,000--100,000 bases, while (iv) the cross-over in this frequency range is virtually absent in human chromosome 22. In addition to the universal 1/f^alpha noise in power spectra, we find (v) several lines of evidence for chromosome-specific correlation structures, including a 500,000 bases long oscillation in human chromosome 21. The universal 1/f^alpha spectrum in human genome is further substantiated by a resistance to variance reduction in guanine and cytosine content when the window size is increased.
Holste Dirk
Li Wentian
No associations
LandOfFree
Universal 1/f noise, cross-overs of scaling exponents, and chromosome specific patterns of GC content in DNA sequences of the human genome does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Universal 1/f noise, cross-overs of scaling exponents, and chromosome specific patterns of GC content in DNA sequences of the human genome, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Universal 1/f noise, cross-overs of scaling exponents, and chromosome specific patterns of GC content in DNA sequences of the human genome will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-278859