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Exome sequencing analysis is a cost-effective approach for identifying variants in coding regions.
Through experimental verification, we found current scheme in identifying variants maintains high levels of sensitivity with very limited amount of false positives.
A powerful and versatile high throughput assay based on LC-MS allowed the simultaneous detection of primary and secondary oxidation products, which was instrumental for identifying variants with a strong preference for the terminal oxidation of palmitic acid.
Consequently, chemotyping became useful for distinguishing morphologically similar species, by identifying variants of the chemotaxonomic markers.
The majority of diagnoses (>70%) were due to our bioinformatics, phenotyping, and targeted testing identifying variants that were undetected or not prioritized on prior ES.
Here, we used the Rosetta software suite to design variants of the PG9 antibody HCDR3 loop with the goal of identifying variants with increased potency and breadth of neutralization for diverse HIV strains.
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It is assumed that the analysis perspective is decisive for identifying variant and invariant teaching patterns.
Table 1 Summary of all identified variants.
They identify variants near ATM associated with treatment success.
We identified variants that completely explained this signal.
Then we identified variants by running HaplotypeCaller jointly on all genotypes but separately for each parental subgenome.
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