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The basic algorithm described above assumes that there is one and only one binding site on each sequence, which is certainly not always true.
When all known human promoter sequences were analyzed by performing a FASTA on each sequence, 500 900 sequences were hit by each one (Table S1).
We then ran TC BLAST on each sequence to count how many TMSs each one contained and to find the sequences' closest matches in TCDB.
Another limitation that must be noted is that the imaging evaluation occurs at only one time point, and thus we are unable to comment on each sequence's sensitivity to change in a longitudinal study.
Tables 2 and 3 demonstrate the average center error and overlap rate of different tracking methods on each sequence.
Based on each sequence data, two pairs of specific primers were designed and sequences of each primer were as follows; H. taichui; Hapt_F5′-GGCCAACGCAATCGTCATCC-3′and Hapt_R1 5′-CTCTCGACCTCCTCTAGAAT-3′ which yielded a 170 bp PCR product.
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On successful recall of each sequence pair, the sequence increased by one digit.
They were carefully instructed on the characteristics of each sequence and its corresponding computer instruction label.
A Blast search was performed on GenBank for each sequence and the matching homologous Scleractinian sequences were retained for subsequent alignment.
The tests were run on 50 frames for each sequence.
From simulations on various test sequences, it can be found that the optimal threshold for each sequence depends on the sequence content.
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