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It is important to develop methodology for assessing alignment of published guidelines with current best evidence.
We have added several indexes for assessing alignment fidelity among tomato and potato sequences.
The PULSE organization has started the process by creating rubrics for departments to use in assessing alignment (PULSE Community, 2014).
The most relevant parameters are listed above along with their intended use in terms of assessing alignment quality.
We therefore believe that assessing alignment accuracy to a precision of 0.1% is permissible for the benchmarks we performed.
There is currently no validated method for assessing alignment with evidence; therefore we used a method that will need future review to assess validity.
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Therefore, we have developed the Boulder ALignment Editor (ALE), which is a web-based RNA alignment editor, designed for editing and assessing alignments using structural information.
An automated image-matching technique is presented to assess alignment of the entire lower extremity for normal and implanted knees and the positioning of implants with respect to bone.
An alternative, more statistically justified approach to assess alignment uncertainty is the use of probabilistic evolutionary models for joint estimation of phylogeny and alignment.
Finally, for Figure 3C, we assessed alignment yield and accuracy on mate-pair reads sequenced from a dSPRI library.
The authors assess alignment and NFkB SMAD translocation at 16h for both HUVECs and HDLEC.
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