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In a further step, one mapping technique (process mapping) was selected and applied to percutaneous transluminal angioplasty (PTA) and stent placement procedures in order to better visualize, better understand, and efficiently organize workflow.
The closest marker at each putative QTL identified using interval mapping was selected as a cofactor and the selected markers were used as genetic background controls in the approximate multiple QTL model (MQM) of MapQTL5.0.
The trim length with the highest percentage of mapping was selected as the trim length for all reads from each library.
The stimulation intensity used for the mapping was selected between 40% and 45% (43 ± 2, mean ± SD) of maximum stimulator output (MSO).
Sanitation mapping was selected to represent apparent interests of the community and as a discrete project able to be completed in a short time frame.
The data obtained were analyzed for the numbers of reads mapped, and the best quality mapping was selected with SAMStat [ 51].
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The Kosambi mapping function was selected to convert a recombination frequency to genetic distance (cM).
B1K2 and B1K30 reads used for mapping were selected as follows.
To ensure linkage map quality, the SNP markers used for final mapping were selected by removing markers that were more than 20% missing values and contained identical recombinant information.
Individuals for QTL mapping were selected preferably from the tails of the emergence time distribution in order to increase the power of identification QTLs for ToE, a procedure known as selective genotyping [ 47].
BACs for chromosome rearrangement breakpoint mapping were selected using the UCSC Genome Browser and the NCBI Human Genome Browser and labeled directly with either SpectrumOrange- or SpectrumGreen-conjugated dUTP using a nick translation kit (Vysis, Downers Grove, IL, USA).
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