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The description of the best BLAST hit is then used as annotation for that gene.
The taxonomic label of the best similarity hit is then transferred to the query sequence.
The best hit is then used as an input seed in a blastp or tblastn search against the initial set of query sequences.
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A black triggerman in a mob hit was then unheard of, and totally alien to the mafia's modus operandi, but no one was fooled.
Those that induce >50% inhibition ("hit") are then assayed at 1, 10, 100, 1,000, and 10,000 nM to determine Ki values (secondary assay).
The percentage of reads having each number of BLAST hit were then tallied.
The functional profile of the best hit was then assigned to the query gene.
Only their top high scoring Eucalyptus hit was then used for further analysis of the contigs.
GO terms [ 33] associated with the best Uniref100 hit were then automatically assigned to the corresponding EUCAWOOD unigenes.
Those queries that failed to find any hit were then blasted against the National Center for Biotechnology Information (NCBI) nonredundant (nr) protein database.
Each potential hit was then used as a BLAST query against the NCBI nr database to confirm that its closest match was a lin gene.
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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