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This confirms that the use of quality values can improve clustering accuracy.
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In particular, we had to ensure that, with the use of the additional information of quality values, the clustering improved compared to that produced by the original algorithms.
Base calling and attribution of quality values were performed using Phred [ 40], using default parameters.
Reads were assembled using Phrap [ 22], without the use of Phred quality values and with the – default_qual parameter set to 10 in order to ascertain that similar reads were aligned.
The image convolution and calculation of quality value were performed using Goat module of Illumina pipeline v.1.8.
The image deconvolution and calculation of quality value were performed using Goat module (Firecrest v.1.4.0 and Bustard v.1.4.0 programs) of Illumina pipeline v.1.4.
Popular methods are Quake (Kelley et al., 2010), Reptile (Yang et al., 2010) and the error correction module from the Allpaths-LG assembler (Gnerre et al., 2010), all of which use base quality values.
Instead of a fixed ε, we use reads quality values that approximate probabilities q x[ i] of a nucleotide at position i in the k-mer x being erroneous.
The current state-of-the-art in mapping uses the quality values and mapping quality scores to evaluate the reliability of the mapping.
In this section we introduce the work of the International Society for Pharmacoeconomics and Outcomes Research Special Task Force on US Value Assessment Frameworks formed to review relevant perspectives and appropriate approaches and methods to support the definition and use of high-quality value frameworks.
Using these quality values also decreases the speed of the alignment [ 9].
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