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See #3497

See #3497

instead of creating a new file, write the information under reads ->
distribution

to fix execution time.

the barplot had nothing to do with a genescan and is just an example.

See #3452

Refactor the function to work like vidjil works. Write the output to a
file with the suffix vidjil.extra

takes a min threshold and returns a dict with the number of clones
per locus above the percentage threshold of the total reads for that locus.

See #3454

See #3456

We don't want files to appear multiple times if they are present in
multiple sample sets. In order to achieve this, we retrieve the
information from the results_file and group all the sample_sets into an
array for each results_file. A new SetDecorator displays the list of
sets how we want them.
See 3407

Fixes #3430, vdj#706

we want to use it both as a tool and as a web2py module.

ensure we apply decorators to fused data as well

See #2235

add object inheritance to allow other classes to inherit from it.

adds boolean decorator and a bar decorator (boolean should display a
check of cross and bar displays a percentage bar)

Adds the bassis for decorating fields in the multi sample stats
controler. the idea being that not all data is to be represented in
textual or numerical format, so we can use a decorator to generate an
html object from the data.
See #2235

if the value is None replace it with an empty string

for the set name use helpers.

when calculating the perecentage for mapped reads, convert values to
floats.

In order to save time processing data extraction from files we can use
fused files since they generally are much smaller than results_files.

only extract the name off the main clone.