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52.60% of Swiss-Prot protein (CDS) sequences have at least one PDB CDS hit with e-value <= 0.001.
For those LSGs with no significant CDS hit to a non-Brassicaceae CDS, BLASTN searches were performed using the genomic sequences (i.e. pseudo-chromosomes and/or scaffold sequences).
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Redundancy of contigs was eliminated by CD-HIT v4.6.1 (Fu et al., 2012) (CD-HIT-EST, with 98% sequence identity threshold).
The sequences of the 3861 peptides were then clustered using the program CD-HIT [38].
Immediately the CD hits my Walkman and I hit the streets.
The combined, redundant dataset was clustered using CD-HIT [23].
Redundant entries were removed by the CD-HIT program [58].
The pORFs were clustered with two-step CD-HIT runs.
The clustering algorithm behind CD-HIT is a greedy incremental algorithm.
CD-HIT is orders of magnitude faster than BLAST for identifying sequences that are 65 99% identical.
The reads from all eight samples were clustered together with CD-HIT-EST program.
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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