Your English writing platform
Discover LudwigSuggestions(5)
Exact(8)
Protein domains were clustered for each SCOP family by running CD-HIT [50] with sequence identity of 80% or more.
Ten thousand decoys were produced with Rosetta 3.4 [ 39] and clustered for each independent target.
The data were separately clustered for each probe set (gene) using a modified fuzzy C-means algorithm and two clusters.
Mapped reads were then clustered for each locus into clusters using 60-mer pairs observed in the reads mapped to that locus.
Applying this filter resulted in between 15 000 and 50 000 profiles clustered for each active mark, and between 1000 and 15 000 profiles for each repressive mark.
The numbers of EST clustered for each Zinc transporter sequence are very different, ranging from 8 ESTs for SLC30A10 to 100 for SLC30A5.
Similar(52)
A Fisher's exact test was used to measure the compactness of clustering for each variable.
To be able to compare our clustering to previously annotated families for selected species, we additionally carried out clustering for each species separately.
Predicted proteins with two or more membrane domains were clustered and for each cluster a multiple alignment was created.
Offline: generate k clusters for each sensor profile.
As a result, we calculated six clusters for each subset.
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