In one trial the intervention targeted (randomised) clusters comprising households of index patients with influenza, up to three days after the onset of symptoms in the index case.
Clusters of high herd index densities forming potential risk hot spots were identified which could represent key target areas for surveillance and biosecurity measures under a control program aimed at virus elimination.
The sequence vicinity of each modified residue is represented using amino acids physico-chemical features encoded using high quality indices (HQI) obtaining by automatic clustering of known indices extracted from AAindex database.
In the current work, we present the 2012 update of the AutoMotif Service (AMS) that predicts the wide selection of 88 different types of the single amino acid post-translational modifications (PTM) in protein sequences, using high quality indices (HQI) obtaining by automatic clustering of known indices extracted from AAindex database.
Through the new metric, salient structural differences in local clusters of identical Voronoi indices can be accurately identified.
To analyze the AAindex1 database, different fuzzy clustering algorithms are used in two phases and the average results of 50 consecutive runs of those algorithms are reported in Tables 1, 2, and 3. Here, phase 1 is conducted for the known number of clusters of 402 AA indices.
Hence the clustering of these indices together can be rationally explained.
The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia) following manufacturer's recommendations.
The clustering of the index-coded sample was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia) according to the vender's instructions.
The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumina), in accordance with the manufacturer's instructions.
