considering each segment separately
ignoring reassortment
~1000 random viruses from each segment
1 virus-segment per line
one position per row
black-pixel=difference from the average = consensus
virus-segments and positions are sorted, so that the pixels cluster best
(I may add some characterization later ....
big black area is usually H5N1, ~60% American, ~40%Eurasian
without big black areas = early viruses,
Brevig 1918 should later be marked in each segment
-------------------------------
you can spot the 16 HA types in segment 4
the 9 NA-types in segment 6
the 2 NS-types in segment 8
and the North-American, Eurasian separation in each segment
America has more mallard samples, Asia more poultry samples
(sequences from genbank, aligned with mafft)
ignoring reassortment
~1000 random viruses from each segment
1 virus-segment per line
one position per row
black-pixel=difference from the average = consensus
virus-segments and positions are sorted, so that the pixels cluster best
(I may add some characterization later ....
big black area is usually H5N1, ~60% American, ~40%Eurasian
without big black areas = early viruses,
Brevig 1918 should later be marked in each segment
-------------------------------
you can spot the 16 HA types in segment 4
the 9 NA-types in segment 6
the 2 NS-types in segment 8
and the North-American, Eurasian separation in each segment
America has more mallard samples, Asia more poultry samples
(sequences from genbank, aligned with mafft)
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