Sentence examples for base quality values and from inspiring English sources

Exact(2)

PHRED software [ 65] was used for base calling and assignment of base quality values, and vector and low quality-sequences were removed from the reads on the Egene platform [ 66].

Most of the false SNPs with low-quality discrepancies are likely to be the result of sequencing errors and they can be distinguished by all the algorithms using base quality values and by applying read depth criteria to cover each allele of the SNP.

Similar(58)

After filtering out the low quality reads based on base quality value and removing adaptor sequences, 16,834,090 (98.42%) and 19,069,600 (98.49%) clean reads were retrieved, corresponding to 1,058,335 and 977,308 unique sequences, which were the associated counts of the identical sequence reads, respectively.

Utilizing the individual base-quality values and the Chernoff bound (Chernoff, 1952 ), we compute an upper bound on the probability of observing s reads with an alternate allele out of n reads in a pool due to sequencing errors alone.

From the input file, the SUGAR loads X-Y coordinates, tile number, base quality values (QV) [ 8], and mapping quality (MapQ) of sequence reads.

PolyBayes [ 62], a software designed to use genomic sequence as a template and base quality values to discern true allelic variations from sequencing errors, was used to reveal SNP polymorphisms.

This is because the error rate was so high, and the base quality values are so poor that the mapping quality scores were always extremely low.

A low R value may signify, e.g. a read whose base quality values show a very sharp drop and then 'bottom out' at 0 for the remainder of the read.

Base quality values are used in computation of overlaps and construction of multiple sequence alignments.

This calculation takes into account the alignment depth, the base calls in each of the sequences, the associated base quality values, the base composition in the region, and the expected a priori rate of polymorphism of the species under investigation.

ART uses empirical base quality profiles to accurately mimic the characteristics of Illumina hardware, and we use these base quality values to calibrate the machine learning framework.

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