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BFAST was compared under various models of errors and insertion/deletions to other alignment tools to determine if there were observable improvements in alignment in the simulated datasets (Figure 3).
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A next step will be to develop realistic models of error in sequencing and assembly, and to provide tools to allow any sets of assumptions about read length and cost to be examined.
Standards and modeling of errors, however, offer nearer-term help.
But the most pressing need today lies in the modeling of errors, or what we affectionately call MOE.
Accurate modeling of errors is an essential part of error compensation.
Modelling of errors of machine tools is closely associated with the used instrumentation.
This paper presents a theoretical model of errors of probes for CNC machine tools.
The Gilbert/Elliot error model is a valuable error model still considered as a reasonable solution for modeling of errors in wireless links [34, 37].
Our analysis may also be improved through analytical modeling of errors (i.e., model-based inference) produced by both the LiDAR-to-carbon and national-scale models [60], as well as an improved understanding of spatial autocorrelation of errors.
A third approach used simulation modeling of errors in insulin dose (130).
Our analysis may also be improved through analytical modeling of errors (i.e., model-based inference) produced by both the LiDAR-to-carbon and national-scale models [ 60], as well as an improved understanding of spatial autocorrelation of errors.
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