Looking at Table 3, we have a good idea of which regions and layers are more difficult to segment allowing us to focus on finding improvements for these areas.
We used an RT-PCR protocol based on the conserved termini of the influenza genome segments, which allowed us to amplify all eight segments in sufficient amounts [ 41- 43].
Consolidation of segments into tracts allowed us to estimate the minimum number of independent transformation events in each recombinant and to distinguish properties of selected tracts from those that were acquired independently of the selected loci.
Sequence segments of this size allowed us to rearrange the secondary structure of a mutant in a desired way.
Furthermore, the continuous hourly measurements of both air pollutants and ST-segment depression using ambulatory ECG allowed us to explore the time span of exposure response relations.
We used three different penalties that allowed us to segment the signal incorporating the characteristics of the aCGH data.
Excellent, or diagnostic, image quality was achieved for 100% of aortic segments on SSFP MRA, which allowed us to confidently evaluate all aortic disease with a diagnostic accuracy of 100% using CE-MRA as the reference standard.
The plug-in allowed us to segment the images based on color.
This method allowed us to identify segments of the female genome that are underrepresented in the male genome and are therefore likely to be female specific.
First, whole-genome sequence comparison allowed us to identify inverted segments between independently assembled individuals [ 6, 32, 33].
