Abstract
In a DNA sequence that exhibits long-range correlations, standard deviations among the GC levels of its segments can be up to an order of magnitude higher than in a sequence consisting of independent, identically distributed nucleotides. Conversely, plots of inter-segment standard deviations vs. segment length reveal quantitative information about the correlations present in a sequence. We present and discuss formulae that relate long-range (power-law) correlations between the nucleotides of a sequence to the expected standard deviations of the GC levels of its segments, and to the correlations between them.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 33-38 |
| Number of pages | 6 |
| Journal | Gene |
| Volume | 276 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Oct 3 2001 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Genetics
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