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A dataset with contigs >200 bp was then used to map the reads using maximum stringency (100% LF and 100% SIM), in order to minimize the error of consensus sequences while improving the coverage of conserved sequences.
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Encounter thinking, our response to the exceptional, saves us from the errors of consensus and the expectations of smooth process that, like myths of consolation, leave us ill-equipped to deal with changes when they come.
RefAligner assumes the alignment reference has the error profile of in silico maps and the query has the error profile of consensus genome maps.
The effect of the quantization error on consensus is analyzed for the case that the nodes' dynamics is described by the first order integrator with a quantized message input.
In addition to potential alignment errors, choice of consensus is a subjective human decision.
Analytic estimates of consensus error are given.
This study deals with the problem of consensus error calculation for linear multi-agent systems (MASs) with system noises and measurement noises.
To compensate the effects due to unknown trajectory information, a smooth function of consensus errors and certain positive integrable functions are introduced in designing virtual control inputs.
By introducing compensating terms in a smooth function form of consensus errors and certain positive integrable functions in each step of virtual control design, a new backstepping based distributed adaptive control protocol is proposed.
Firstly, for the stochastic approximation type protocol, we clarify the relationship between the convergence rate of the consensus error and a representative class of consensus gains in both mean square and probability one.
They are designed to reduce PCR amplification biases and sequencing error rates through the generation of consensus sequences from all amplicons with the same UMI.
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