The clusters in the "diced" SSNs for Megacluster
can be viewed by clicking the alignment scores (a
cluster contains ≥3 UniRef90 IDs/nodes). As the alignment score increases, the clusters decrease in
size and complexity. Also, as the alignment score increases, the number of clusters initially
increases as large clusters segregate and then decreases as clusters "dissociate" into individual
nodes. The images do not include clusters with ≤2 nodes or singletons because Explore pages are not
provided for these.
This link
provides access to the Explore page for Megacluster-1
in the SSN generated
with an alignment score of #.
On that (and any) Explore page, any cluster in the SSN can be selected;
also, SSNs generated with other alignment scores can be selected.
Or, select an alignment score for a "diced" cluster in the
image and click on its image to access its
Megacluster-1 Explore page.
Each Explore page includes the "AS Walk-Through" button above the cluster image. Clicking the button
opens a window that identifies 1) the progenitor cluster in the previous SSN ("walk backward") and 2)
for the progeny clusters in the next SSN ("walk forward"). The cluster name is a link to its Explore
page. These connections may allow the discovery of divergent functions that share mechanistic
attributes.
The Search
functions enables the user to identify the clusters in the "diced" SSNs that contain a
specified UniProt ID or homologues of a specified sequence.
When Find by UniProt ID
is used, the Results page provides a list of clusters in the "diced" SSNs that
contain the UniProt ID along with the number of UniProt IDs in the cluster, the number of cluster
nodes, and the UniProt ID convergence ratio (CR; described on the Explore Pages tab).
As the alignment score continues to increase, the ID may may be located in a cluster with ≤2 nodes or a
singleton. No results will be returned for these alignment scores.
When Find by Sequence
is used, the Results page provides a list of the three clusters at each alignment
score with the smallest e-values along with the number of UniProt IDs in the cluster, the number of
cluster nodes, and the UniProt ID convergence ratio.
As the alignment score increases, the "best" e-value typically decreases as the cluster becomes
orthologous/isofunctional as nonorthologous sequences are segregated. As the alignment score
continues to increase, the "best" cluster can segregates into a cluster with ≤2 nodes or a singleton;
the Search results will identify clusters but the e-values likely will be larger than those identified
for the clusters with lower alignment scores.
