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Sequencing Errors

Sequence errors refer to situations when a person performs a task, or an individual step in a task, out of sequence. For example, charging the reactor before starting the cooling water flow. [Pg.127]

Sequence error (action carried out in wrong order)... [Pg.228]

Theorem 4-9 is stronger than the converse theorems that have previously appeared in the literature.9 These other theorems deal with the probability of error on a decoded sequence. Proving that the probability of error on a sequence of length N approaches 1 as N -+ oo does not prove that the error probability per source digit is bounded away from zero. If each sequence error corresponds to only one source digit error, then the source digit error rate would be 1/N times the sequence error rate. Thus theorems about the sequence error rate do not rule out the possibility of reliable communication for large N. [Pg.219]

SWISS-PROT and TrEMBL protein entries from the same organism that should be identical but differ owing to sequencing errors, variants, frameshifts, etc. [Pg.56]

Despite these problems EST databases are a valuable source of large-scale analysis of human variation. They will become even more valuable as the data continue to grow at the present rate. An algorithm for computer-aided SNP mining should contain filters to eliminate the potential sequence errors. Such filters can be based on the probabilistic analysis of sequence features. It can also take into account that multiple occurrences of a variant are more trustworthy, and it may furthermore focus on improving the quality of base-calling if the fluorescent traces are available for closer srcutiny. [Pg.421]

Picoult-Newberg et al. (1999) also applied after Phred/Phrap a set of filters to avoid sequencing errors. They excluded candidates if there were indels or further mismatches nearby in the sequence. They neglected variants suggested in the first 100 EST positions since this region is known to have a high error rate. They also discarded variants seen only once in the EST collection. [Pg.422]

A total of 61 predicted nonsynonymous SNPs were selected for which the fluorescence traces and the perinent Phred quality values were available. Resequencing of the clones confirmed 38 of the 61 SNPs, whereas 23 were rejected as sequencing errors in the database. [Pg.424]

Sequence errors are tasks done out of order, such as disconnecting a chemical transfer hose before depressuring it. Although someone may make a sequence error simply because of not thinking, other reasons might include improper training, out of sequence prompt, failure to understand the sequence importance, or misguided improvement attempts. [Pg.82]

Second, DNA polymerases need magnesium ions for activity a correct Mg2+ concentration is crucial for successful amplification as well as correctness in sequence of the amplified product. This fact can be used as a tool for directed evolution to introduce sequence errors deliberately during amplification (error-prone PCR see Chapter 11, Section 11.3) by adding geometrically similar Mn2+ to the PCR buffer already containing Mg2+. In most cases, the concentration of the buffer provided in a commercial PCR kit is optimized for the corresponding polymerase, so adjustment of Mg2+ concentration should rarely have to be considered. [Pg.70]

Fig. 10.5 Intact oligonucleotide in dogs after either intrajejunal (IJ) administration of a solution formulation (open symbols, 10 mg/kg) or oral administration of a tablet formulation (filled symbols, 15 mg/kg) of two oligonucleotide chemistries. ISIS-2302 (squares) is a phosphorothioate oligodeoxynu-cleotide ISIS-15839 (triangles) is a hemi-mer MOE derivative with the same sequence. Error bars indicate standard error. Fig. 10.5 Intact oligonucleotide in dogs after either intrajejunal (IJ) administration of a solution formulation (open symbols, 10 mg/kg) or oral administration of a tablet formulation (filled symbols, 15 mg/kg) of two oligonucleotide chemistries. ISIS-2302 (squares) is a phosphorothioate oligodeoxynu-cleotide ISIS-15839 (triangles) is a hemi-mer MOE derivative with the same sequence. Error bars indicate standard error.
Simulations of RNA secondary structure landscapes provide insight into the necessary mutation rate to drive adaptation. Huynen etal. (1996) found that the ability of a population to adapt is determined by the error threshold of the fitness and not the sequence. Indeed, they found that any mutation rate greater than zero will cause the population to drift on the neutral network [The error threshold on landscapes with high neutrality approaches zero (Derrida and Peliti, 1991).] A second, higher mutation threshold causes the fitness information to be lost. To accelerate the diffusion of the population on the neutral network, it is necessary to be above the sequence error threshold and as close to the fitness error threshold as possible. Under these criteria, the population will diffuse rapidly without losing fitness information. On a flat landscape, the diffusion constant D0 for a population of M sequences of length N can be approximated by Eq. (37). [Pg.150]

Two examples of these additions, resulting in OR-gates, are given here. First, it was considered quite possible that the same incorrect control button (1.1) could have been pressed because of a sequence error on the correct dryer (1,1.2). The operator could have simply hit the wrong button while intending to follow the correct sequence (1.1.2,1.), or he could have been mistaken in the correct sequence itself, because of lack of experience (e.g. trainees were sometimes replacing experienced CCR operators on leave). [Pg.103]

Cons Number of molecules sequenced in a single run is relatively low. Reagents for a sequencing run are approximately twice as costly as those Rate of sequencing errors increase toward the end of the deep sequencing reads Preparation of samples is time-consuming. The di-base color encoding system requires dedicated computational tools for the analysis Homopolymer errors... [Pg.95]


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See also in sourсe #XX -- [ Pg.65 ]

See also in sourсe #XX -- [ Pg.91 ]




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Protein sequence-structure alignment errors

Sequence errors, human factors

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