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The pipeline combines ConoSorter with sequence architecture-based elimination and similarity searching using BLAST to improve the accuracy of sequence identification and classification, while reducing requirements for manual intervention.
Additionally, the accuracy of sequence data cannot be verified given that sequence tracefiles or voucher samples are not retrievable via GenBank.
Even then, however, the accuracy of sequence and gene parameters that vary significantly within the genome might still differ between windows.
Using the complete genome sequence of E. coli DH1 ME8569 as a reference, we evaluated the accuracy of sequence reads obtained from three NGS platforms by aligning these reads to the reference genome sequence.
Among the data sets after alignment to the DH1 reference genome, the accuracy of sequence matching was significantly low in the data set of GA, suggesting a high error rate in GA data.
To minimize the false negative rate, we used a low -score setting of 50 to tag all possible SNPs and inspected each SNP manually to verify the accuracy of sequence assignments.
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Early experiments conducted with a prototype of NeverMind suggest that the long-term memory recall accuracy of sequences of items is nearly tripled compared to paper-based memorization tasks.
Between the increased speed and accuracy of sequencing and a heightened awareness of RNA in the cell, an ever-increasing number of roles has been found for RNA in the regulation of gene expression and in cell defense.
Indels and SNPs within long tracks of simple repeats were not included in these statistics and subsequent analyses because of the low accuracy of sequencing in these areas.
It is worth noting that, for several reasons, the prediction accuracy of sequence-based models for the histone code as outlined here is likely an underestimate.
The accuracy of sequence-based functional annotations is often variable, particularly if the sequence homology to a known function is low.
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