Sentence examples for between sequence errors and from inspiring English sources

This model has limited power to distinguish between sequence errors and variants when λ is small.

This is purported to reduce sequencing errors, and to permit better distinction between sequencing errors and polymorphisms (Applied Biosystems, 2008).

Sufficient read coverage is required to distinguish between sequencing errors and low-frequency mutant alleles because of the relatively high error rates of NGS reads [ 37].

In addition, the SOLiD system uses a two-base encoding scheme in which each data point represents two adjacent bases, and each base is interrogated twice, which helps in discriminating between sequencing errors and true polymorphisms.

SOLiD platform generated two-base encoding data to discriminate between sequencing errors and SNPs [ 18], while Roche 454 platform has the ability to generate reads with length up to 500 nt or even longer, which is especially specific for de novo sequencing and resequencing [ 16].

We devised a simple theoretical model to explore the relationship between sequencing error and read coverage as a function of the average coverage.

They should be able to find the true position of each read on a reference genome and ideally distinguish between technical sequencing errors and natural genetic variations.

This stringent threshold adjusted for testing of multiple positions and also accounted for the non-random correlation between sequencing errors at the same position which leads to over-inflated quality values.

Such ambiguity between sequencing errors vs. true polymorphisms is especially relevant to viruses with RNA genomes, whose genomes rapidly accumulate polymorphisms and exist as a population of diverse quasi-species, even in the context of single infections (Lauring and Andino 2010).

The relationship between sequencing error probabilities (P) and the quality value or Phred quality score (Q) is as follows: Q = -10Log10 P [ 31].

The relationship between sequencing error rate (E) and sequencing quality (sQ) is shown in the below formula: (1) sQ = − 10 × log E 1 − E log 10 ; (2) Y = e sQ − 10 × log 10 ; (3) E = Y 1 + Y. Low quality reads were trimmed and reads containing poly A stretches, reads less than 18 nt and adaptor sequences were accurately clipped with the aid of a dynamic programming algorithm.