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In general, a message translator assures two functions: (i) parsing a stream of bits or characters, representing a network message in order to produce an AST, and (ii) processing an AST to produce a network message in the format expected by a given component.
These steps typically follow the workflow: (i) parsing sequencer output; (ii) calculating and (iii) visualizing summary statistics on quality scores and nucleotide distributions; (iv) trimming reads if necessary; and (v) filtering reads by quality score and other various manipulations.
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Never having heard the phrase "KATIE BAR THE DOOR," I parsed the phrase incorrectly in every possible way except the correct one.
"How I make my way through this thicket of information — how I manage it, how I parse it, how I organize and distribute it — is what distinguishes my writing from yours".
Once out of curiosity I parsed out how much Ms. McCarthy drank in the course of a particular night: three daiquiris, two manhattans, a couple of glasses of red wine and then some Benedictine and brandies.
Part of how I parse the world is that different people have different expertise that I can massively learn from.
You're not going to like what the market would look like if I parse it comparably with the misery of 1981 to 1982.
I parsed both groups' selections here.
When I parsed the numbers for the American students most like their peers in other countries, they were smack in the middle.
I parsed my schedule by minutes, struggling to find time and energy to do anything that wasn't necessary for survival.
First, I parsed the 200,433 sequences to identify those sequences that had an alignment quality score (i.e. ARB database field 'align_quality_slv') of 100.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com