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These "pipeline" steps rely on fundamental algorithms such as n-gram language modeling, naive Bayes classifiers and Hidden Markov Models.
Consult the program's manual (/programs/sentieon-genomics-201808.01/doc/Sentieon.pdf) for other options and syntax of other pipeline steps.
The information obtained from prior pipeline steps are encoded as starting symbols, e.g. walls or openings, and attributes, e.g. the location of a symbol inside a wall.
First, as our clone and protein productions were carried out simultaneously, downstream pipeline steps were burdened with some partial-length forms of genes along with full-length forms.
Each of these pipeline steps is described in detail below.
A detailed description of the programs and databases used to perform each of the aforementioned pipeline steps is given below.
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Each pipeline step performs an optical flow computation stage.
The local routing of the particles among the PEs executed in parallel with the particle generation, weight, and output calculations pipeline step.
In this study, fault tolerance is set to three in e-PCR pipeline Step 2 to remove multiple loci as much as possible and increase the probability of the unique primers being aligned to reads from samples, while fault tolerance is set to one in e-PCR pipeline Step 3, given the tradeoff between InDel accuracy and SNP tolerance.
Multiple alignment is usually the first pipeline step.
Examples are the signal flow converter, the immune system filter and network statistic pipeline step.
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