Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
Each different contig that presented a match was extracted for each gene.
The best match was extracted using an in-house Perl script and used as a basis for obtaining annotations for each probe based on sequence identity.
The duration and result of each set and match was extracted from the official FIVB database online and transferred to the Excel file.
The DNA corresponding to each best match was extracted and its translation was validated as aligning well with its human query.
Similar(56)
Sequences without a BLAST match were extracted and searched against both NT and the CA Illumina assembly.
The coordinates of each BLASTN match were extracted using our customized Perl scripts, which utilized some modules of the BioPerl toolkit [ 85], and aligned with ClustalW [ 86] with default parameters.
The points, which are used in stereo matching, are extracted using the Harris corner detector and the bi-directional area-based stereo matching algorithm with sub-pixel accuracy is used to get more reliable result.
Peptide matches were extracted from the normal and reverse databases.
Genomic regions from all significant matches were extracted and gene prediction analysis was performed using Genscan.
Sequences producing significant matches were extracted, and scanned against the entire Pfam profile database.
The accession numbers and E-value of the best matches were extracted from the result files.
Write better and faster with AI suggestions while staying true to your unique style.
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