Using these definitions, mapping datapoints in a graph is also converting data into an image in order to analyze it.
Tabulating data into tables similarly converts image visually so that mistakes or outliers can be spotted.
Using these definitions, mapping datapoints in a graph is also converting data into an image in order to analyze it.
Tabulating data into tables similarly converts image visually so that mistakes or outliers can be spotted.
> Using these definitions
There's a transformation of the data that is analogous to how a human would use the data to find a variant. It's closer to inspecting a stack of widgets to find a defective widget than it is listing numbers in a table
Similar to instepcting a stack of rows to find a defective row
No actually, pileups aren’t just looking at a stack of rows. There are quality considerations,local realignment, multiple mapping - the data are high dimensional (genome mapping, qualities, indels) in a way that can’t be trivialized to “inspecting a stack of rows to find a defective row”
The work is not trivial even if the intuition is easy