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The number of intervening letters, or bases, in the sequence determines the size of the segment.
More challenging scenarios arise in cases of gapped alignment of RNA-Seq reads, and with the presence of insertion or deletion of bases in the sequence of reads.
This result is also robust to the underlying sampling variance of the diversity estimates, because bootstrap resampling of the individual bases in the sequence data also demonstrates a significant correlation (median rs = −0.61; 95% CI: −0.87, −0.17).
A customized routine for bootstrap resampling of the sequence data was compiled using Absoft Pro Fortran 8.0 (Rochester Hills, MI). Individual bases in the sequence data were sampled with replacement, and the Spearman Rank Correlation (rs) was obtained from the standardized diversities (divided by FP) of the three northern samples (HI, IR, SB) against chromosomal position.
The sequence context beyond immediate neighbors also seemed to play a role since Thy4 and Thy22 show consistently different preferences in both stacked and flipped states even while having the same adjacent bases in the sequence (5'-Ade and 3'-Gua).
As each 5 base sequence was encountered, the next two bases in the sequence were added.
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† CG represents the quantity of CG bases in the sequences.
Degenerate bases in the sequences were assigned a specific base and the final sequences can be found in the separate excel sheet.
N50 Length is a statistical indicator of average contig length for a given assembly, defined as the length N for which 50% of all bases in the sequences are in a sequence of length L < N) [ 4].
We estimate the initial probability of leaving the background state by the number of occurrences of the initialising L-mer divided by the number of bases in the sequences.
In conventional Sanger sequencing, the accuracy of the call of each base in the sequence can be assessed using Phred scores, which are probability-based confidence scores (Ewing et al, 1998a; Ewing and Green, 1998b).
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