Color By
Change the metadata field which the visualisation is coloured by.
The phylogeny, map and frequencies panel (if available) will all be coloured in a consistent fashion.
MCC
Filter Data
Use this box to filter the displayed data based upon filtering criteria. For instance, start typing a country's name to filter the data accordingly.
Data is filtered by forming a union of selected values within each category, and then taking the intersection between categories (if more than one category is selected).
Scroll to the bottom of the main page (under the data visualisation) to see an expanded display of filters and available values.
Filter options prefixed with "(M)" are filters specific to the Measurements panel. They will have no effect on the phylogeny tree or other panels.
Type filter query here...
Tree
This panel displays the evolutionary relationships among samples, illustrating their genetic relatedness and inferred ancestry.
The exact options available depend on the dataset and specific analysis performed.
If Branch Length is available, you can choose to display the tree branches in terms of (nucleotide) divergence or (inferred) time. It is often helpful to toggle on confidence intervals to gauge the uncertainty in the reconstruction of internal node dates.
Layout
x
PCA1
y
PCA2
Branch Labels
clade
Tip Labels
Sample Name
Explode Tree By
Exploding a tree by trait X means that for each branch where the trait changes value, we will prune off the branch and create a separate (sub)tree. It works best when the trait doesn't change value too frequently.
Select...
Language
English
Seasonal influenza A/H3N2 phylogeny from 2016-2018
Maintained by Sravani Nanduri and John Huddleston. Data updated 2024-08-20.
Showing 1607 of 1607 genomes.
Phylogeny
MCC_0MCC_0MCC_1MCC_1MCC_2MCC_2MCC_3MCC_3MCC_4MCC_4MCC_5MCC_5MCC_6MCC_6MCC_7MCC_7MCC_8MCC_8MCC_9MCC_9MCC_10MCC_10MCC_11MCC_11MCC_12MCC_12MCC_13MCC_13MCC_14MCC_14MCC-10-5051015-8-6-4-202468PCA1PCA23c33c3.A3c2A33c2.AA2A1A1aA1b
Data updated 2024-08-20Auspice v2.63.1
Powered by Nextstrain (Hadfield et al Bioinformatics)