  The next-generation sequencers such as Illumina and SOLiD platforms generate
a large amount of data, commonly above 10 Gigabytes of text files.
Particularly, the SOLiD platform allows the sequencing of multiple samples in a
single run, called multiplex run, through a tagging system called Barcode. This
feature requires a computational process for separation of the data sample
because the sequencer provides a mixture of all samples in a single output.
This process must be secure to avoid any harm that may scramble further
analysis. In this context, realized the need to develop a probabilistic model
capable of assigning a degree of confidence in the marking system used in
multiplex sequencing. The results confirmed the adequacy of the model obtained,
which allows, among other things, to guide a process of filtering the data and
evaluation of the sequencing protocol used.
