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For the analysis the following classifications of clusters were used.
To determine if our phages contain a common set of genes shared with other Clostridial phages, we compared predicted ORFs based on classifications of clusters of orthologous groups (COGs) among the three host groups shown in Figure 1.
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The juxtaposition and separability of resulting clusters has been analyzed using MANOVA and hierarchical classification of clusters (hyperclustering) based on inter-centroid and inter-class distances.
The functional classification of clusters of euKaryotic Orthologous Groups (KOG database) [ 43] was preferred because it was globally more informative for CamemBank01.
The overall COG classification of clusters was based on the same classification as mentioned above, however this classification represents a consensus where the COG category matching the highest number of paralogs in the cluster determines the cluster classification.
An alternative classification of clusters, based on biochemical function, involves the use of HT-GO-GAT to assign clusters to individual Kyoto Encyclopedia of Genes and Genomes (KEGG ) metabolic pathways.
Information on the metabolic pathways active in the transcriptome library was obtained from the crossed-analysis of the Gene Ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) ontology (KO), and functional classification of clusters of euKaryotic Orthologous Groups (KOG database) [ 42- 44].
Table 12 Classification of cluster headache [1] 3.1 [G44.0/N90] Cluster headache A.
An average improvement of more than 10% in the measurements of F1 score and Az has fully validated the effectiveness of our proposed method for the successful classification of clustered microcalcifications.
The functional annotation and classification of clustered wild barley was carried out with Blast2GO v2.5 [ 80].
PILER-CR [ 12] and CRISPRs web server [ 13- 15] was used for rapid identification and classification of clustered regularly interspaced short palindromic Repeats (CRISPRs).
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