Sentence examples for sequence mistakes from inspiring English sources

The incorrect prediction was probably due to three sequence mistakes present in WormBase which resulted in false stop codons.

However, some sequence mistakes cannot be ruled out in GenBank-available sequences, such as that of Harding strain (for example, nt 202 221 are conserved in all reported Plasmodium spp. so far studied, except for P. ovale Harding strain and P. malariae Uganda-1).

The sequence analysis pipeline included a number of steps: sequence truncation, repair of 454 sequence mistakes, two rounds of sequence clustering, identification of unique alpha-gliadin transcripts, unique deduced alpha gliadin protein fragments (UPFs), and CD epitope variants, and count of 454-reads per variant.

For Neandertal genomics to come into its own, however, Pääbo, Rubin, and others must demonstrate that their sequences are real and not a mosaic of errors due to degradation that occurs as DNA ages, sequencing mistakes, or contamination from modern humans who have handled the fossils, says genomicist Stephan Schuster of Pennsylvania State University in State College.

Secondly, we assessed the effect of sequencing mistakes by removing all non-synonymous and RNA mutation counts from terminal branches (and also from branches that carried 2 individuals) and repeated the sliding window analysis.

These scattered sequencing mistakes become very problematic when studying mutations present in <1% of cells [ 46].

At relatively low or moderate levels of coverage, sequencing mistakes are not pushed over.

The reads were merged per clone and the sequence data were manually checked using SeqMan (DNASTAR) to exclude sequencing mistakes.

However, around 60% of the unique sequences show 2 mismatches or more indicating that the rate of sequencing mistakes is probably relatively high.

Since all of these microRNAs amplified (see Additional file 1: Figure S1) at high PCR efficiency values, it follows that 454 sequencing generates significant sequencing mistakes.

Both false positive (Fp) and false negative (Fn) calls could be caused by SFP calling errors, sequencing mistakes, or problems in sequence alignment in the databases.