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We present an approach that combines different types of next-gen sequence data with low stringency bioinformatic filters, and relies upon differences among individuals and across sequencing chemistries to validate variants.
It is not surprising that the overlap at high stringency is small considering that both methods use different types of data and completely different learning schemes.
It seems appropriate "to tune different levels of regulatory stringency (including regulations on acceptable types of consent) to different types of biological materials according to the interests of the donors involved".
Two different types of beings.
Different unis attract different types of people.
We use different types of fruit, different types of nuts, even different types of breadcrumb".
Different tools provide different types of results.
Different seasons reveal different types of birds.
Well, I have different types of homes.
There are also different types of lie.
There are different types of cost cutting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com