Sentence examples for expected sequencing errors from inspiring English sources

The number of de novo SNPs detected is considerably lower than expected sequencing errors (estimated probability of an incorrect call = 0.1%) with a phred quality score of 30 [ 35].

A straight-forward approach for calling variants in DNA pools is the modeling of sequencing errors using a Poisson distribution with parameters λ and k representing the expected sequencing errors and the observed count of the alternative allele, respectively, at one sequence position.

The DNA and RNA reads were analyzed using the same detection procedure described above, with the sole exception that sequence variations below 0.1% (the expected sequencing error rate) were allowed in the DNA reads (as mandated by the much larger DNA coverage in this validation study).

Then we performed chi-square tests to assess whether the read numbers of OMM sRNAs were significantly larger than expected from sequencing errors.

An increase in the number of SNPs towards the end of the reads is expected if sequencing errors are the cause of a substantial number of predicted SNPs in the dataset.

Those reads that do not match are expected to either be sequencing errors or are located on parts of the genome not covered by these BACs.

Therefore the frequencies of mismatches due to sequencing errors are expected to be comparable across ESTs for the same genes.

The number of positions in genes coding for RNAs is comparable to that of synonymous positions and sequencing errors are expected to occur equally likely at the two classes of nucleotide sites.

Assuming the same error rates for the two newly sequenced BACs 509D2 and 604D5, one can expect about 57 and 40 sequencing errors caused by A and T homopolymers, respectively, per 100 kb BAC.

This is because the observed differences not only reflect sequencing errors, which are expected to occur at similar rates across species, but they also reflect true genomic differences between the individuals sequenced for the 2× and ENCODE projects, which will depend on the diversity of the sampled populations, the relatedness of the sampled individuals, and other factors.

At true homozygote positions, only one allele will be identified (sequencing errors are not expected to produce a sufficient number of alternative alleles to reach significance, and should also occur at relatively uniform rates between datasets).